Tripathi S;Jain A K
007264 Tripathi S;Jain A K (NO, , ) : Design and performance comparison of secure routing protocol in integrated UMTS and WLAN ad hoc networks. J Netwk Secur 2016, 4(3), 28-41.
The impact of routing attack on the Integrated Universal Mobile Telecommunications System (UMTS) and Wireless Local Area Network (WLAN) ad hoc network can be minimized by choosing a suitable secure routing protocol. This paper introduces a new secure inter-domain routing protocol SNAuth_SPERIPv2 and its performance comparison with other secure routing protocols for Constant Bit-Rate (CBR) voice conversational traffic.
44 ref
Singh D;Meher S
007263 Singh D;Meher S (Electronics and Communication Engineering Dep, National Institute of Technology, Rourkela, Odisha) : Direction-adaptive motion estimation (DAME) for efficient video compression. IETE Tech Rev 2016, 33(3), 231-43.
Motion estimation (ME) is widely accepted as an effective tool in video coding to reduce temporal correlation between frames and yields significant improvement in compression gain while sustaining the picture quality. Among various ME schemes, block-matching motion estimation (BMME) is the most popular approach due to its simplicity and efficiency. The BMME algorithms use search patterns to find out the best matched block. However, a single search pattern does not prove efficient in finding best matched block for all motion types. In this research, an efficient direction-adaptive motion estimation (DAME) algorithm is proposed which adaptively selects shape and size of the patterns based on motion content. Performance analysis of DAME algorithm on the reference code JM of H.264/AVC platform reveals that the proposed algorithm outperforms other existing BMME algorithms in search points without degrading the picture quality.
10 illus, 7 tables, 40 ref
Shantveer;Kallimani J S
007262 Shantveer;Kallimani J S (Computer Science and Engineering Dep, M.S Ramaiah Institute of Technology, Bangalore) : Dynamic multilevel priority packet scheduling scheme for WSNs. Int J latest Technol Mgmt appl Sci 2016, 5(8), 58-63.
Wireless Sensor Networks (WSNs) consists of densely distributed self-organizing wireless nodes with a tiny amount of CPU memory, low processing power and a very low battery capacity. These wireless nodes sense the environmental situations and generate different types of data packets, such as real-time and non-real-time data packets. Scheduling these different types of data packets in the network is a challenging task. Many sensor applications rely on information being delivered in a timely manner, so it is important to reduce the total end-to-end delay. Many of the existing packet-scheduling algorithms in WSNs use, First Come First Serve (FCFS), Earliest Deadline First (EDF), Shortest Job First (SJF), Preemptive priority, non-preemptive priority. FCFS, EDF and SJF algorithms don't provide any priority to real-time data packets this leads to starvation of realtime data packets when non-real-time packets arrive with a higher Burst time. In priority based algorithms, non-real-time data packets starve because of continuous arrival of higher priority real-time data packets. Some scheduling algorithms are based on number of queues in the sensor node. Existing algorithms incur a high processing overhead and large end-toend delay. These algorithms are not dynamic in nature to adapt the changing requirements of the Wireless Sensor Networks. A Dynamic Multilevel Priority (DMP) Packet Scheduling scheme is proposed to overcome the starvation problem, to reduce processing overhead and end-to-end delay. This scheduling algorithm divides the ready queue into three individual priority queues. Real-time data packets are allotted the highest priority and are placed in the priority 1 queue, non-real-time remote data packets are allocated to priority 2 queue and local non-real-time data to the priority queue 3. This algorithm uses a zone-based technology and visualizes the whole network as a hierarchical structure. The sensor nodes that are adjacent to the Base Station are considered to be present at level 0, nodes which are at one hop distance are said to be at level 1. Each level in the hierarchy is allocated with a time slot of varying time quantum using a TDMA scheme.
4 illus, 12 ref
Sandhu V;Sandeep Kumar
007261 Sandhu V;Sandeep Kumar (NO, , ) : Selfish node detection in opportunistic networks. J Netwk Secur 2016, 4(3), 7-10.
In recent years, Opportunistic Networks (OPPNET) are grown at very fast rate. These networks are designed for the areas in which no end-to-end connectivity is available for communication. OPPNET works on the principle of store carry and forward mechanism. Transmission of messages takes place through intermediate nodes in OPPNET. It means that OPPNET depends on intermediate nodes. If any intermediate nod behaves maliciously then data transmission may cause. This paper presents selfish node attack and impact of this attack. Next, we discussed various existing techniques that are designed to deal with selfish node.
Sajid M;Raza Z
007260 Sajid M;Raza Z (School of Computer and System Sciences, Jawaharlal Nehru Univ, New Delhi) : Turnaround time minimization-based static scheduling model using task duplication for fine-grained applications onto hybrid cloud environment. IETE J Res 2016, 62(3), 402-14.
Cloud computing is a multifarious computing paradigm incorporating the benefits of service-oriented architecture and utility computing through virtualization. Hybrid cloud, an amalgamation of two or more public and/or private clouds, is gaining high popularity between users due to various reasons involving improved performance, flexible business operations, capacity expansion, optimized costs, and enhanced security. The efficient execution of fine-grained parallel applications onto hybrid cloud system becomes limited due to a number of factors. From the application point of view, it ranges from the dynamicity of the applications to their precedence and communication constraints while for the computational resources, it includes heterogeneity of processors and participating clouds with their interconnection topology. This work proposes a compile time hybrid cloud-based task duplication strategy to execute the fine-grained applications represented as directed acyclic graph (DAG) onto the hybrid cloud environment. The proposed strategy schedules the tasks based on a degree relative to the critical path in the DAG and tries to achieve lower bound of the DAG. Furthermore, it makes an effort to avoid redundant duplication by duplicating only the required parent tasks considering the available idle slots to minimize the execution time of the application. The experimental study reveals that the proposed strategy performs better than its peers in terms of achieving the lower bound more efficiently with lesser degree of duplication for fifte-grained jobs. The strategy is highly useful for cloud environment as it results in lower cost of usage of resources with enhanced system utilization.
9 illus, 22 ref
Saad R M A;Anbar M;Manickam S;Alomari E
007259 Saad R M A;Anbar M;Manickam S;Alomari E (National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia (USM), Penang, Malaysia) : Intelligent ICMPv6 DDoS flooding-attack detection framework (v6IIDS) using back-propagation neural network. IETE Tech Rev 2016, 33(3), 244-55.
IPv6 was designed to solve the issue of adopting IPv4 addresses by presenting a large number of address spaces. Currently, many networking devices consider IPv6 as a supportive IPv6-enabled device that includes routers, notebooks, personal computers, and mobile phones. Security has increasingly become a significant issue in exploiting networks and obtaining the benefits of IPv6. One of the important protocols in IPv6 implementation that is used for neighbor and router discovery is ICMPv6. However, this protocol can be used by attackers to deny network services through ICMPv6 DDoS flooding attacks that decrease the network performance. To solve this problem, this study proposes an intelligent ICMPv6 DDoS flooding-attack detection framework using back-propagation neural network (v6IIDS) in IPv6 networks. This study also explores and analyzes the detection accuracy of the proposed v6IIDS framework. The effectiveness of the v6IIDS framework is demonstrated by using real data-sets obtained from an NAv6 laboratory. The data-set traffic is based on a test-bed environment created on the basis of certain parameters used as inputs to generate a new data-set. The results prove that the proposed framework is capable of detecting ICMPv6 DDoS flood attacks with a detection accuracy rate of 98.3%.
12 illus, 9 tables, 34 ref
Rajkumar S;Goyal N K
007258 Rajkumar S;Goyal N K (Reliability Engineering Centre, IIT Kharagpur, Kharagpur) : Review of multistage interconnection networks reliability and fault-tolerance. IETE Tech Rev 2016, 33(3), 223-30.
There has been considerable increase in interest and efforts to develop large super systems and more reliable parallel computing systems. With increasing number of nodes in the supercomputer environment, multistage interconnection networks (MINs) are widely used as interconnection media due to their self-routing, fault-tolerance, low cost and low transmission delay capabilities. MINs are often used as switching fabrics in parallel and distributed systems designed to provide fast and efficient communication between high-capacity processors. This paper makes an attempt to compare and analyse several recently proposed network topologies of MINs based on some performance metrics (fault-tolerance, reliability and cost).
2 illus, 1 table, 47 ref
Phatak S;Bandodkar S
007257 Phatak S;Bandodkar S (Librarian, SVKM's Dr.Bhanuben Nanavati College of Pharmacy, Vile Parle (W), Mumbai, Maharashtra, Email: saru7917@gmail.com) : E-resources management: a basic study. J Adv Res Libr Inf Sci 2016, 3(3-4), 1-6.
The growing importance of computer technologies is changing the face of libraries and how library resources and services are delivered, Beyond the traditional boundary of printed resources, most libraries today are facing the challenge of selecting, evaluating and acquiring materials in electronic format. Unfortunately, these new resources often require different expertise for selection, evaluation and management. This article deals with challenges that rapid growth in the number of electronic resources and in the complexity of managing e-collections has posed for libraries. The article discusses about the basic study of e-resources management, its concept, history and it also deals with how librarians deal with the challenge of e-resources management to set their expectations about the potential of future tools assist them in their tasks. Electronic resource management in academic libraries involves determining which subscriptions to continue, which to end, and which to start each period. This can be modeled as a typical capital budgeting problem, as resources are limited, with the complication that returns are non-financial.
8 ref
Nikam K;Krishnappa
007256 Nikam K;Krishnappa (Studies in Library and Information Science Dep, Mysore Univ, Mysore-6, Karnataka, Email: khaiser.nikam6@gmail.com) : The study of content management systems drupal, contao (formerly typolight), umbraco and concrete5. J Adv Res Libr Inf Sci 2016, 3(3-4), 7-14.
A content management system (CMS) is a software program that makes amassing and keeping up Website quicker and less demanding. The system can naturally pull the content out and exhibit to it on the correct pages in light of rules you set up early. There are a couple of CMS available now a day's differing in view of functionalities and stage. The test in adequately applying a CMS is both the designer's utilization of the appropriate content management stage to make the content and the productive access by the end customer to the distributed website. This article discusses relative investigation of most extensively used content management system Drupal, Contao (formally TYPOIight), Umbracoand Concretes. This study try to research each CMS on the System Requirements, Security, Support, Ease of Use, Performance, Management, Interoperability, Flexibility, Built in Application and Commerce. This study will help an individual or association to pick a reasonable CMS for their specific web application.
1 illus, 1 table, 6 ref
Jain A;Gahoi S
007255 Jain A;Gahoi S (NO, , ) : Mobile ad hoc network gray hole and black hole attack detection and defences. J Netwk Secur 2016, 4(3), 1-6.
Mobile ad hoc network (MANET) is an infrastructure less dynamic network which is created on demand. MANET is an assembly of mobile nodes which is a temporary network. Mobile nodes frequently come and go out of the network. Because of self-motivated or mobility in nature, nodes are very important factor for the security perspective. In this paper, a review on a various type of network attacks, such as black hole attack, gray hole attack, worm hole attack an many other attacks, which are most dangerous threats for MANET. In this paper, we have presented a review on eliminating and defensive techniques for such kind of attacks in the MANET.
11 ref
Hwang M S;Chen S M;Liu C Y
007254 Hwang M S;Chen S M;Liu C Y (Computer Science and Information Engineering Dep, Asia Univ, Talwan, ROC) : Digital signature with message recovery based on factoring and discrete logarithm. IETE J Res 2016, 62(3), 415-23.
There are two applications in digital signature schemes with message recovery based on a discrete logarithm problem. One is an authenticated encryption scheme, and the other is a key agreement scheme. Considering that the cryptographic assumptions will be broken in the future, the digital signature scheme with message recovery should also be designed based on two assumptions. Besides the digital signature scheme with message recovery, the authenticated encryption scheme with message linkages should also be redesigned to deal with the problem when any one of the factoring and discrete logarithm assumptions is broken. In this paper, we propose a digital signature with message recovery based on factoring and discrete logarithm and show that the scheme is secure. In comparison with Zhang et al.'s scheme, our proposed scheme is the most efficient one in terms of communication cost and computation complexity.
3 illus, 26 ref
Guanghui C;Xing Z;Yanjun L
007253 Guanghui C;Xing Z;Yanjun L (School of Electronics & Information Engineering, Liaoning Univ of Technology, Jinzhou, China) : Image encryption with variable length key. IETE Tech Rev 2016, 33(3), 297-309.
We propose a new image encryption algorithm with variable length running key based on a modified tent map. This modified tent map can generate uniform distribution pseudo-random number sequence. In the proposed image encryption, we employ the strategy of variable length running key which enlarges key value space, the strategy of one-time running key which is resilient to known/chosen plaintext attack, the strategy of cipher disturbance which minimizes dynamical degradation of digital chaos. Simulations have been carried out and the results demonstrate the strong survival ability of our scheme.
10 illus, 7 tables, 27 ref
Gahoi S;Jain A
007252 Gahoi S;Jain A (NO, , ) : Vulnerability assessment and management using qualys guard. J Netwk Secur 2016, 4(3), 49-55.
Vulnerability is some flaw or loophole in our environment that a malicious attacker can use to exploit to harm or damage, in computer security. Vulnerability is a weakness which allows a malicious attacker to reduce a systems information assurance. There are various types of tools and techniques proposed over the year to assess the vulnerabilities and to manage them. These tools and techniques use various approaches to implement the basic functionality of vulnerability assessment and management i.e. to secure the environment by assessing the vulnerabilities and remediating them. This survey describes the various aspects of VS/VM tools and techniques and various issue related to vulnerability assessment and management.
8 ref
Devaraj M;Piryani R;Singh V K
007251 Devaraj M;Piryani R;Singh V K (Computer Science and Engineering Dep, Uttar Pradesh Technical Univ, Lucknow) : Lexicon ensemble and lexicon pooling for sentiment polarity detection. IETE Tech Rev 2016, 33(3), 332-40.
This paper presents our experimental work towards detecting sentiment polarity of free-form texts: first by using an ensemble of sentiment lexicons and then through a lexicon pooled machine learning classifier. In the ensemble design, we combined four different sentiment lexicons in different ways to determine sentiment polarities of different text data. The ensemble approach, however, did not achieve superior performance as initially thought. Therefore, in the second design, we tried to pool the sentiment lexicon knowledge into the machine learning classification process itself of a multinomial naive Bayes classifier. The experimental designs are evaluated on three document and two sentence datasets. The lexicon pooled approach obtains superior accuracy levels as compared to standard naive Bayes classifier as well as lexicon-based methods. Furthermore, as the amount of training data decreases, the accuracy levels of lexicon pooled machine learning classifier decays slowly as compared to standalone naive Bayes classifier. The framework presented proves useful and robust and can be extended to any classification task.
3 illus, 6 tables, 31 ref
Dara R;Sowjany T
007250 Dara R;Sowjany T (NO, , ) : Secure and parallel access mechanism for network file system. J Netwk Secur 2016, 4(3), 42-8.
Secure communication is an important requirement in the real world as the number of such systems is in process. A standard for large scale distributed file systems that can support parallel access to multiple storage devices is parallel Network File System (pNFS). This file system provides security using Kerberos. Kerberos is one of the network authentication protocol used by client server applications. This is based on secret key cryptography. In this paper, we build a custom simulator application that shows how secure authentication takes place in the context of a parallel network file system. We proposed and implemented a mechanism to have secure authentication and parallel communications besides reducing overhead of metadata servers. The empirical results revealed that the proposed system supports secure authentication.
Biswas D;Kathait G S;Rohilla V
007249 Biswas D;Kathait G S;Rohilla V (NO, HNB Garhwal Univ, Srinagar Garhwal, Uttarkhand) : To design and measure physical signal from a USB-based data acquisition system. Int J latest Technol Mgmt appl Sci 2016, 5(8), 75-81.
Nowadays Universal Serial Bus (USB) has emerged as a very popular, inexpensive and easy-to-use short range (5m) communication media for data transfer with a PC (host), where the communication device acts as a client. The USB was originally designed to connect PC with its peripherals (keyboard, mouse etc.). However, it has proven useful for many other applications, including measurement and automation. An approach to develop a USB based data acquisition system is presented; where a PIC microcontroller (Microchip's 18F2550) based standalone embedded system is used as a front-end data collection and also field control device. The developed USB based device continuously scans its input analog and digital channels sequentially and updates the PC with these values, which are updated in a Visual BASIC based application GUI (Graphical User Interface). Here USB device has been programmed as Human Interface Device (HID) class, which provides an additional advantage of not requiring any device specific driver. The firmware used in the microcontroller is developed in PicBASICPro platform. A second Generation JDM programmer has been developed, which is used along with WINPIC800 to program the microcontroller. This device can accept an analog input voltage between 0 - 5Vdc from any real life sensor(s) and generate digital output (8 bits) as control action.
18 ref
Bhat B;Kenchakkanavar A Y;Hadagali G S
007248 Bhat B;Kenchakkanavar A Y;Hadagali G S (NO, Jain Univ, Bengaluru-560 069, Email: anand.3661@gmail.com) : Use of internet by the students of MBA college of Janata Shikshana samiti (JSS), Dharwad. J Adv Res Libr Inf Sci 2016, 3(3-4), 26-9.
The main purpose of the present study is to determine the use of Internet by the students of Management studies at JSS College, Dharwad, Karnataka, India. A questionnaire method was used to collect the data from the P.G. students. A total of 100 questionnaires were distributed, out of which, 87 duly filled in questionnaires were received back with a response rate of 87%. The outcomes of the study indicate that 58 (5,9.77%) respondents use Internet through cell phones; 53 (60,91%) respondents use Internet daily; and 58 (66.67%) respondents agree that there is an impact of Internet on their study and project work. Based on the opinion received from the respondents, the authors have given some suggestions; bandwidth should be increased along with computer terminals and orientation programme should be conducted frequently for the new comers/freshers.
8 tables, 2 ref
Banu R K;Ravanan R
007247 Banu R K;Ravanan R (NO, Sathyabama Univ, Chennai, Tamil Nadu, Email: karthiyainspire@gmail.com) : Competency framework model to assess success pattern for Indian faculties A NLP data mining approach. J scient ind Res 2016, 75(11), 662-6.
Faculties who help us grow as people are responsible for imparting some of life's most important lessons. We learn through them, through their commitment to excellence and through their ability to make us realize our own personal growth. The researchers look at the effectiveness by number of ways of assessing faculties. In our research work we analyzed and assessed the success pattern of college faculties based on Neuro-Linguistic Programming (NLP), a branch of Behavioral Psychology of the modern day. Using NLP Tools we pick up Behavior and Response Patterns in people in different life situations. The response patterns may vary in different contexts. Hence the patterns are checked in various contexts. The reports generated out of this assessment helps to identity their core competencies and the areas of improvement for their professional growth.
1 illus, 3 tables, 15 ref
Baddour A;Abbas A
007246 Baddour A;Abbas A (Researcher, Hospital Management Faculty, Al-Andalus Univ for Medical Sciences, Syria) : Private & public hospitals automation. Int J pure appl Sci Technol 2016, 32(1), 1-16.
In recent years, computer applications have become increasingly common in hospitals worldwide. The adoption of these applications offers many advantages for improving the clinical and administrative performance within a hospital to promote quality and safely care. The aim of the present study was to investigate the extent of use of computer applications at Syrian hospitals. The study was conducted at 45hospitals; 20 of them were for-profit hospitals. The study revealed the majority of hospitals (84.4%) were already using computer applications, while only one fifth of hospitals (20.0%) used computers network. Computer applications were most frequently used by administration's secretaries units (53.3%) follow by financial & accounting (48.9%), laboratory (46.7%), pharmacy (45.9%), radiology (40.0%), admission & discharge (37.8%), statistics (26.7%), human resources (20.0%), and medical records (15.6%). On the other hand, the computer applications were least frequently used by materials management (8.9%), and maintenance (4.4%).
12 tables, 36 ref
Avneet Kaur;Mandeep Kaur
007245 Avneet Kaur;Mandeep Kaur (NO, , ) : Innovative methodology to detect and prevent black hole attacks in wireless sensor networks. J Netwk Secur 2016, 4(3), 23-7.
Due to the particular characteristics, wireless sensor network (WSN) is severely unsafe and are receptive malicious attacks. One amongst the foremost malicious threats to WSN is within the sort of part attack that focuses on the routing protocols. This genre of attacks will have an awfully serious impact on ranked routing protocols. A range of security solutions is place forth to safeguard WSNs from part attacks. However, a majority of the solutions are cumbersome and vitality inefficient. During this paper, an jury-rigged classified energy efficient black hole detection & interference model is planned to guard device network from part attacks. Our planned approach is straightforward and relies on reserve path choice between device node and base station. The results show that our planned algorithmic program is effective in detection and preventing with efficiency the part attacks.
Alajeely M;Doss R;Ahmad A
007244 Alajeely M;Doss R;Ahmad A (School of Information Technology, Deakin Univ, Geelong, Australia) : Security and trust in opportunistic networks- A survey. IETE Tech Rev 2016, 33(3), 256-68.
Opportunistic networks or OppNets refer to a number of wireless nodes opportunistically communicating with each other in a form of "Store-Carry-Forward". This occurs when they come into contact with each other without proper network infrastructure. OppNets use wireless technologies, such as IEEE 802.11, WiMAX, Bluetooth, and other short-range radio communication. In OppNets, there is no end-to-end connection between the source and the destination nodes, and the nodes usually have high mobility, low density, limited power, short radio range, and often subject to different kinds of attacks by malicious nodes. Due to these characteristics and features, OppNets are subject to serious security challenges. OppNets strongly depend on human interaction; therefore, the success of securing such networks is based on trust between people. This survey includes the security approaches in OppNets and techniques used to increase their security levels.
1 table, 62 ref
Tabassum R;Tyagi N
006224 Tabassum R;Tyagi N (CSE Dep, MIET, Meerut) : Issues and approaches for big data security. Int J latest Technol Engng Mgmt appl Sci 2016, 5(7), 72-4.
With the advent of technology, there has been exploding increase in the generation of data. The data exists in different formats like text, audio, video, image referred as big data. Due to this continuous increment and dependency on web requires security towards the private data. When this large amount of data travels through the internet then there is the problem of securing, managing, storing and analysing the data. The major issue then arises is the privacy and security of big data. The importance of Big Data does not revolve around how much is the amount of data, but what to do with it. Data can be taken from various sources and analyse in order to find answers that enables cost reduction, time reduction, new product development and optimizing offering, smart decision making[1]. Then, a big question arises is- 'what security and privacy technology is adequate for controlled assured sharing for efficient direct access to big data'. This paper presents a quick review of the security issues and various approaches to overcome them.
1 table, 13 ref
Suryawanshi A C;Rawat A S;Waghmare A;Meshram K
006223 Suryawanshi A C;Rawat A S;Waghmare A;Meshram K (Electronics Dep, Umrer College of Engineering, Umerer, Nagpur) : Touch-less fingerprint recognition system. Int J latest Technol Engng Mgmt appl Sci 2016, 5(2), 42-4.
Touch-less Fingerprint Recognition System is a viable alternative to conventional touch based fingerprint recognition system. Fingerprint recognition is one of the application of biometrics that is used for identification of a person. In touch based sensing, many sensors were developed for fingerprint recognition purpose in which the user's fingerprint is placed on the sensor. Depending upon the pressure applied on a sensor by the person the input fingerprint from one and same finger can vary which may lead to problems like forgery and hygiene. Touch-less fingerprint technology is developed so that the problems in touch based sensing techniques can be depleted as this system avoids physical contact between a finger and sensor. Touch-less system is different from conventional system because they use digital camera to acquire the fingerprint image whereas in conventional system live acquisition technique is used. In touch-less fingerprint system we consider constraint of the fingerprint images that were acquired with the digital camera such as the low contrast between the ridges and valleys in the fingerprint images, motion blurriness and defocus. Touch-less system can be mainly divided into four major parts they are data acquisition, pre-processing, extraction of features and matching. In feature extraction, minutia from fingerprint images are extracted and in matching process the number of minutia pairings between two fingerprints is matched. This project is coded by using MATLAB software. Fingerprint recognition system has been widely adopted for verification purpose because of their reliability as compared to other biometric application. As fingerprint is believed to be unique for each person fingerprint recognition has found its application in various different fields.
1 illus, 7 ref
Singh H;Jangra S;Verma P K
006222 Singh H;Jangra S;Verma P K (Computer Engineering Dep, Punjabi Univ, Patiala, Punjab) : Penetration testing: analyzing the security of the network by hacker's mind. Int J latest Technol Engng Mgmt appl Sci 2016, 5(5), 56-60.
Network security is one of the major concerns of world. We all know that the systems on the internet are increasing day by day and so the vulnerabilities. These vulnerabilities must be found before the attacker. This can be done with the help of penetration testing. Penetration testing is used to check or evaluate the security posture of an organization or network. Its job is to provide the all round investigation for finding the vulnerabilities and security threats in different systems and networks. This paper explains the penetration testing and methodology for performing it. It also discusses the prevalent tools and techniques for information gathering and vunerability assessment. And finally penetration testing frameworks are analyzed so as to find the vulnerabilities so that patches can be made to fill and increase the security of system, network or applications.
20 ref
Shrisha H S;Anupama V
006221 Shrisha H S;Anupama V (Computer Science & Engineering Dep, Canara Engineering College, Mangaluru, Karnataka) : Monitor system to detect botnet activity in IoT based home automation system. Int J latest Technol Engng Mgmt appl Sci 2016, 5(3), 77-8.
Emerging Internet of Things (IoT) technology has given new tools and means for developing Home Automation Systems to create smart homes [1]. Functions which are handled smartly are climate control, home electronics, security systems, lighting and much more to come. Malwares can cause abnormal behaviour in the connected smart devices. So to monitor, detect and take corrective measures, a monitoring system is proposed.
2 illus, 3 ref
Sateesh G;Sai Lakshmi E;Ramanamma M;Jairam K;Yeswanth A
006220 Sateesh G;Sai Lakshmi E;Ramanamma M;Jairam K;Yeswanth A (CSE Dep, Lendi Institute of Engineering and Technology, Vizianagaram) : Assured data communication using cryptography and steganography. Int J latest Technol Engng Mgmt appl Sci 2016, 5(3), 102-6.
Now days in the world of communication, securing the information is Main criteria while communication in the network. Usually users exchange the confidential data and documents during communication. So, that Security is important criteria in Communication. Security and communication are inseparable words. In order to provide security to the data we are using cryptography and Steganography techniques together. This paper proposes Assured Data Communication by Using Cryptography and Steganography together. The combination of these two techniques can provide robust platform for secured data communication System. Here, We Create a Cipher text (Encrypted) of text message Using Cryptography Techniques and then we hide the Cipher text into Multimedia Using Steganography [1] techniques. We used SDES algorithm in Cryptography for data Encryption and Decryption, LSB Method of Steganography to hide Cipher text into image. This Proposed System provides high Assured Communication System. So that Intruders fail to crack data Communication even in Non-Secure channels.
15 ref
Reema P;Kunwar Jay Kumar D
006219 Reema P;Kunwar Jay Kumar D (NO, , ) : Automated cooking machine using PLC and HMI. Int J latest Technol Engng Mgmt appl Sci 2016, 5(5), 75-7.
The proposed model of automated cooking machine is the basic model which we further used in cooking or food industry. Because in food or cooking industry one could not able to provide manual faults. Recently everything is based on technology where we have to serve technology by automated systems by this automation technology we can reduce the man power and with reducing the errors. And also we achieve the reduction of huge wastage of manual handling Up to now, most of the peoples are still cooking in the kitchen, which makes them fatigued and also makes air polluted. With the development of numerical control technology, it becomes more and more urgent to apply the related technology to the automated cooking field. As per recent technological need in food industry we are going to present the model for automated cooking machine. This automated cooking machine comprises with three systems viz, stepwise addition of ingredient's, stirring, frying etc. An automated cooking machine includes a steel bowels, hot plate, oil and water pump, stirrer and a panel mounted adjacent to the machine. A program logic controller and HMI control each of the devices to carry out cooking process. With such an automated cooking machine can stir fry and deep fry like a human cook and easy to keep good repair.
2 illus, 3 ref
Ravi Prakash G;Kiran M
006218 Ravi Prakash G;Kiran M (NO, Research BMS Institute of Technology, Dodaballapur Road, Avalahalli, Yelahnka, Bengaluru-560 064) : Is it consistent with lower bounds that any perfect counter summarization must have a resizable hadoop cluster channel?. Int J latest Technol Engng Mgmt appl Sci 2016, 5(6), 8-27.
Authors develop a novel technique for resizable Hadoop cluster's lower bounds, the template matching rectangular array of counting with counter summarization expressions. Specifically, fix an arbitrary hybrid kernel function f:{0,1}n → {0,1} and let Af be the rectangular array of counting with counter summarization expressions whose columns are each an application of f to some subset of the variables x1, x2, ..., x3, x4. We prove that Af has bounded-capacity resizable Hadoop cluster's complexity Ω(d), where d is the approximate degree of f. This finding remains valid in the MapReduce programming model, regardless of prior measurement. In particular, it gives a new and simple proof of lower bounds for robustness and other symmetric conjunctive predicates. We further characterize the discrepancy, approximate PageRank, and approximate trace distance norm of Afin terms of well-studied analytic properties of f, broadly generalizing several findings on small-bias resizable Hadoop cluster and agnostic inference. The method of this paper has also enabled important progress in multi-cloud resizable Hadoop cluster's complexity.
39 ref
Ravi Prakash G
006217 Ravi Prakash G (NO, BMS Institute of Technology, Dodaballapur Road, Avalahalli, Yelahanka, Bengaluru-560 064) : Problems on inverted index summarization expressions for resizable hadoop cluster channel and cluster complexity. Int J latest Technol Engng Mgmt appl Sci 2016, 5(5), 1-19.
Authors develop a novel technique for resizable Hadoop cluster's lower bounds, the template matching rectangular array of inverted Index summarization expressions. Specifically, fix an arbitrary hybrid kernel function f: {0,1}n → {0,1} and let Af be the rectangular array of inverted Index summarization expressions whose columns are each an application of f to some subset of the variables x1, x2, ..., x4n. Authors prove that Af has bounded-capacity resizable Hadoop cluster's complexity omega(d), where d is the approximate degree of f. This finding remains valid in the MapReduce programming model, regardless of prior measurement. In particular, itgives a new and simple proof of lower bounds for robustness and other symmetric conjunctive predicates. We further characterize the discrepancy, approximate PageRank, and approximate trace distance norm of Af in terms of well-studied analytic properties of f, broadly generalizing several findings on small-bias resizable Hadoop cluster and agnostic inference. The method of this paperhas also enabled important progress in multi-cloud resizable Hadoop cluster's complexity.
39 ref
Rajasekaran T;Sowmeya V;Suha S;Vinodhini S V
006216 Rajasekaran T;Sowmeya V;Suha S;Vinodhini S V (Computer Science & Engineering Dep, KPR Institute of Engineering and Technology, Arasur) : Abnormality detection from blood report using hiearchical clustering algorithm. Int J latest Technol Engng Mgmt appl Sci 2016, 5(3), 98-101.
In modern medical applications data mining techniques are very popular and produce accurate results, diagnosing a blood test report is a complicated process that largely depends on the doctor's knowledge, experience, ability to evaluate the patient's current test results and analyze risk factors that might be causation of illness. Therefore, a need for system to assist physician in making accurate and fast decision has arisen. The main focus of the present paper is to analyze the performance of "Hierarchical clustering algorithm" for blood reports. The results are compared with the normal values given in the medical books and shown that the hierarchical clustering technique was sufficiently effective to diagnose medical dataset especially, blood test reports and suggested that these results may be used for developing automatic abnormality detection Expert Systems.
8 illus, 20 ref
Rajalakshmi S;Ananthan T V;Shobarani
006215 Rajalakshmi S;Ananthan T V;Shobarani (Computer Science and Engineering Dep, Dr. M.G.R. Educational and Research Institute Univ, Maduravoyal, Chennai, Tamil Nadu, Email: amrlakshmi80@gmail.com) : Improving energy efficiency through green computing in wireless sensor netrowks. Pollut Res 2016, 35(3), 609-13.
Green computing is the recent advancement technology used in less energy consumption and for improving the efficiency of energy related products and fields. The vast changes of Government's policies in e-waste management for encouraging energy recycling and to consume lower energy for individual uses, business operational units, software industries etc. are to be considered seriously. The main goal of green computing is to reduce the use of hazardous substances, maximization of energy efficiency by increasing the products lifetime, and the active promotion of recyclable and biodegradable of scrap materials from factory waste. This green technology is used for sustainability in using computers and related resources with no impact on the environment.
3 illus, 45 ref
Pathak N;Ray D;Sinha S;Dash U K;Pal A J
006214 Pathak N;Ray D;Sinha S;Dash U K;Pal A J (Information Technology, Heritage Institute of Technology, Kolkata) : Survey on video strganography using genetic algorithm and artificial neural network. Int J latest Technol Engng Mgmt appl Sci 2016, 5(6), 56-8.
Nowadays, Steganography has becoming a popular means of sending secret message over the internet without letting anyone know the existence of the secret message. Only the sender and receiver know about the contents of the message and also about its existence. Video Steganography is a form of Steganography where the secret message is hidden in a video file which is then sent over the internet to its intended recipient. The recipient also receives the means with which the secret message can be recovered. Thus, Steganography increases security to a high extent. It was mostly used by the army to communicate secret data over the internet. However, nowadays the use of Steganography has increased. Video Steganography can be implemented through several algorithms. Some of these algorithms include Genetic Algorithm and Artificial Neural Network. This paper includes a survey on how Video Steganography has been implemented by several researches using the above two algorithms. It focuses on the pros and cons of each of these algorithms.
8 ref
Pandey V K;Pandey R K;Kaushik A;Daiya S
006213 Pandey V K;Pandey R K;Kaushik A;Daiya S (Computer Science Dep, SKITM, Haryana) : Enhance security model of MANET with advance MAC protocol using NAV setting. Int J latest Technol Engng Mgmt appl Sci 2016, 5(5), 82-4.
Mobile ad- hoc Network is used on that place where the installation of Network setup is not possible using wire & base infrastructure like centralize server. In this situation the up to date technologies apply called ad hoc network. The migration form wired network to wireless network has been a worldwide trend within the few decades. The various type of the upgrade wireless networks, Mobile Ad hoc Network is one of the needful and separate application like in any rescue operation, battlefield & all ad-hoc network. To achieve the good throughput, cooperative communication utilizes nearby terminals to broadcast the overhearing information, has a great potential to improve the transmitting efficiency in mobile ad hoc networks. Here we are explaining a trust concept using Finite state machine based on a MAC protocol which support the avoidance of packets collision using NAV setting in both data link layer and network layer (routing & link layers) of Mobile ad hoc networks(MANETs).
2 illus, 17 ref
Palla S
006212 Palla S (EEE-Dep, GNITS, Hyderabad) : DSTATCOM with LCL filter topology for mitigation of harmonics in distribution system. Int J latest Technol Engng Mgmt appl Sci 2016, 5(7), 39-44.
In this paper a Distribution Static Compensator (DSTATCOM) with LCL filter topology has been planned to compensate varied issues of power quality in distribution system with non linear loads. A 2 level voltage source inverter (VSI) is employed in conjunction with LCL filter to extend voltage support to the VSI. The instantaneous reactive power theory has applied for the effective and economical operating of the DSTATCOM, for this hysteresis current controller (HCC) is enforced to come up with pulses to the VSI and PI controller is employed to keep up constant DC link voltage. The proposed DSTATCOM topology has compensated Source Current Harmonics by injecting shunt currents into the distribution system. Planned topology has been simulated by using MATLAB/SIMULINK.
10 illus, 2 tables, 9 ref
Narender Kumar;Roopa Kumari
006211 Narender Kumar;Roopa Kumari (Computer Science and Engineering Dep, HNB Garhwal Univ Srinagar Garhwal, Uttarakhand) : Simulating annealing approach for discrete tomography from orthogonal projections using boundary points. Int J latest Technol Engng Mgmt appl Sci 2016, 5(3), 123-35.
In this paper simulating annealing technique is used to minimize the number of solutions from orthogonal projections. Convexity is prior information about the object geometry in the discrete tomography. This information may be useful for reconstruction of binary matrix or binary image from their projections. Boundary point switching is used to find approximate solution. This technique gives better result as compare to general switching.
10 illus, 8 tables, 20 ref
Mishra D
006210 Mishra D (NO, Institute of Technology, Nirma Univ, ) : Virtual reality. Int J latest Technol Engng Mgmt appl Sci 2016, 5(1), 50-4.
"Virtual Reality (VR)" was proposed by Jaron Lanier, founder of VPL Research (1989). Alternate names for VR are virtual environment (VE), cyberspace (proposed by William Gibson), artificial reality, augmented reality. VR simulates the virtual world around you that makes user think of being in a real world (virtually created). A true virtual environment must include immersion and interactivity. Virtual reality uses HMD (Head Mounted Devices), PCs and graphics software to perform immersion and input devices such as joystick, datagloves and different kind of sensors for user interaction. Virtual Reality is an emerging technology that has application areas such as Real estate, manufacturing of vehicles, training program for the military, in medicine doctors can train for surgical procedure and diagnosing the patient with fear and other conditions, virtual games. This paper also includes innovative ideas that can be implemented using any of three (Virtual Reality, Augmented Reality as well as Holograms).
3 illus, 5 ref
Masuma M R;Losarwar V A L
006209 Masuma M R;Losarwar V A L (NO, Computer Science & Engg. P.E.S. College of Engineering, Aurangabad) : Text classification and clustering through similarity measures. Int J latest Technol Engng Mgmt appl Sci 2016, 5(3), 91-4.
Similarity measurement is the important process in text processing. It measures the similarities between the two documents. Unlabeled document collections are becoming increasingly large and common and available; mining such data sets is a major contemporary challenge. Words are used as features. Text documents are often represented as high-dimensional and sparse vectors. Measuring the similarity between words, sentences, paragraphs and documents is an important component in various tasks such as retrieval of information, document clustering, word-sense disambiguation, automatic essay scoring, short answer grading, and text summarization. This paper shows the survey of the document clustering.
11 ref
Kundur N C;Dhulavvagol P M;Prasad M R
006208 Kundur N C;Dhulavvagol P M;Prasad M R (CSE Dep, JSSATE, VTU, Belagavi) : Recommendation system based on content filtering for specific commodity. Int J latest Technol Engng Mgmt appl Sci 2016, 5(7), 25-9.
Internet Content-based recommendation systems may be used in a variety of domains ranging from recommending web sites, news items, restaurants, television programs, and commodities for sale. Content-based recommendation systems share a common means for describing the items that may be recommended. In this paper, we propose Recommendation System that uses Keywords as input query from user for extracting specific items that match user query from the list. User keywords may consists of keywords words from name of the item, brand and popularity. Here we are calculating the similarity between user given item names and collected item name in the database by using vector space model which in turn uses TF-IDF, Cosine Similarity and finally re-rank top recommended items. We measured satisfaction and accuracy for each system-recommended item to test and evaluated performances of the suggested system. Finally Recommendation System for item based represents high level of satisfaction and accuracy.
1 illus, 12 ref
Kavitha S N;Prasanna Kumar S C
006207 Kavitha S N;Prasanna Kumar S C (Information Science & Engg. Dep, R.V. College of Engineering, Bengaluru) : Survey of fingerptint analysis using artificial neural networks. Int J latest Technol Engng Mgmt appl Sci 2016, 5(5), 67-70.
Fingerprint Analysis is one of the efficient biometric tool which is highly used to verify the identity of the user. Artificial neural networks consist of various sets of neurons which resembles the neurons in the human brains. ANN is most widely used in the fingerprint analysis because of quick learning Techniques. Usually the ANN is trained to determine the characteristics that will be occurring in the fingerprint and extraction of those characteristics. In the training phase the extracted characterizations are compared with the templates that will be present in the stored database. A wavelet is used to divide a continuous signal into a scalable component, this technique of wavelets help to determine and differentiate the mordant characteristics of the fingerprint.
6 illus, 6 ref
Kavitha C R;Mahalekshmi T
006206 Kavitha C R;Mahalekshmi T (NO, Bharathiar Univ, Coimbatore, Tamil Nadu, Email: kavithacr@gmail.com) : Rough set approach for feature selection and generation of classification rules of hypothyroid data. J advd scient Res 2016, 7(2), 15-19.
Rough Set theory (RST) has been successfully employed in several researches for feature selection, classification, dependencies among the attributes and rule induction. This paper presents two applications using rough sets. The first application deals with feature selection which uses RST for classifying hypothyroidism. The second application deals with generating classification rules from 498 samples of hypothyroid data.
3 illus, 11 tables, 16 ref
Katwale S;Dixit K;Shinde Y;Patel R;Ahmed A; Yadav P
006205 Katwale S;Dixit K;Shinde Y;Patel R;Ahmed A; Yadav P (B. E. Student, Electronics & Telecommunication, Umrer College of Engineering, Umrer) : Energy optimization of wireless sensor network OFDM system by reduction of PAPR using FFT. Int J latest Technol Engng Mgmt appl Sci 2016, 5(3), 136-9.
In a communication system, operation of the transmitter power amplifier is limited to linear range. Input signal with an amplitude more than the transmitter power amplifier linear range results in signal distortion. Hence, the input signal to the transmitter should be with low peak to average power ratio. This paper presents a new method of reducing the peak to average power ratio in OFDM system for energy optimization in wireless sensor network. The proposed method is based on DCT aided successive addition and subtraction of OFDM symbols inside the single OFDM frame. Performance of the proposed method is evaluated and found to be superior to PTS, SLM techniques. High Peak to Average Power Ratio (PAPR) is still almost important challenge in Orthogonal Frequency Division Multiplexing (OFDM) system. We use Discrete Cosine Transform (DCT) preceding based SLM technique for PAPR reduction in OFDM systems. This technique is based on pre-coding the constellation symbols with DCT pre-coder after the multiplication of phase rotation factor and before the Inverse Fast Fourier Transform (IFFT) in SLM-OFDM System.
4 illus, 5 ref
Joshi B;Singh P
006204 Joshi B;Singh P (Computer Science and Engineering Dep, Birla Institute of Applied Sciences, Bhimtal, Uttarakhand) : Application of handheld device for topographical mapping in remote area "Bhulekh and crop updation in hilly areas". Int J latest Technol Engng Mgmt appl Sci 2016, 5(7), 22-4.
In India land data is maintained by the revenue Department and is regularly updated by the latter as and when new data is generated at the sub-district level. Looking at the complexity and volume of land records and data collected at village level by the Revenue Functionary, usage of Hand Held device was proposed. The first device that was used by Land Record Information System was "Simputer" for data collections. The Land Records Information System attempts to cover all processes involved in Recording of Land use, Crop, Tenant and Ownership details including transfer of ownership in its scope of computerization. The Land Records Information System deploys only textual data that is not graphic or spatial. Majority of the data required for land records computerization is available in two important documents per Owner, Mutation register and Land revenue register. Through computerization of the above documents, it is possible to have up to date data and a comprehensive Land Records Information System. This database, once integrated with associated digitized map data, can form a very good base data for development of Geographical Information Systems.
5 illus, 15 ref
Jabeen K;Ahamed K I
006203 Jabeen K;Ahamed K I (CSE Dep, G.Pulla Reddy, College of Engineering and Technology, Kurnool) : Comprehensive study on various neural network frameworks. Int J latest Technol Engng Mgmt appl Sci 2016, 5(3), 110-4.
The traditional computation techniques of programming were not capable enough to solve "hard" problems like pattern recognition, prediction, compression, optimization, classification and machine learning. In order to solve such problems, an interest towards developing intelligent computation systems became stronger. To develop such intelligent systems, innumerable advances have been made by the researchers. Inspired by the human brain neural networks, researchers from various disciplines designed the Artificial Neural Networks (ANN). These artificial neurons are characterized on the basis of architecture, training or learning method and activation function. The neural network architecture is the arrangement of neurons to form layers and connection scheme formed in between and within the layers. Neural network architectures are broadly classified into feed-forward and feedback architectures that further contain single and multiple layers. The feed-forward networks provide a unidirectional signal flow whereas in the feedback networks the signals can flow in both the directions. These neural network architectures are trained through various learning algorithms for producing most efficient solutions to computation problems. In this paper, we present neural network architectures that play a crucial role in modeling the intelligent systems.
5 illus, 10 ref
Hajare A;Srivastava H;Gosavi P;Prabha Kumari
006202 Hajare A;Srivastava H;Gosavi P;Prabha Kumari (Computer Engineering Dep, Cummins College of Engineering, Pune) : Innovation management software: a platform to innovate more effectively. Int J latest Technol Engng Mgmt appl Sci 2016, 5(6), 130-2.
Far too many ideas die in lost notes and cleaned up whiteboards. This paper explains how we can capture every "eureka moment" just the way it hits us, and take it through to execution. The paper proposes to create a desktop client (called, Innovation Management Software-IMS) that allows a user to register his/her ideas along with attaching images or URL to explain the idea just by clicking on an icon in the system tray. The system will have a provision of user profile creation and idea details submission form. The users can view their own ideas and also the repository of the ideas submitted. The industry concept of collaborative idea management will be implemented in the system by suggesting similar or complementary ideas to the user via notifications. This is achieved by matching of keywords from the user's idea with those from ideas of other people. Upon successful matching owner details are displayed to the user and emails are sent to both the parties to foster collaboration amongst them. As a future enhance-ment, the IMS aims to integrate with systems that can track the realization of an idea into a product after expert evaluation. Hence, the IMS aims to ensure that the "right ideas" actually end up meeting an organization's relevant innovation needs.
6 illus, 5 ref
Chaudhari S;Jain S;Shaikh M;Jadhav R
006201 Chaudhari S;Jain S;Shaikh M;Jadhav R (Computer Engineering Dep, Fr.C.R.I.T. Vashi, Navi Mumbai) : Mobile application for crime recognition system. Int J latest Technol Engng Mgmt appl Sci 2016, 5(3), 120-2.
In 21st century where mobile and information technology have become an integral part of our lives. Smart cities have the combination of technology and human resources to improve the quality of life. This allows us to take steps towards implementing smart, safe cities, by using the personal mobile devices and social networks to make the people alert and aware of their surroundings Hence we are developing an android application which provides an indication of the crime to the user through an android application. This application has a functions like search crimes by locations, posting a crime incident (record crime) and crime places integrated on google map with different colours, SOS along with emergency numbers.
2 illus, 4 ref
Borgaonkar C;Shukla K;Deshpande N;Patil R
006200 Borgaonkar C;Shukla K;Deshpande N;Patil R (Computer Engineering Dep, Savitribai Phule Pune Univ, Pune, Maharashtra) : Optimizing network bandwidth for multimedia streaming application: XStream. Int J latest Technol Engng Mgmt appl Sci 2016, 5(2), 38-41.
Streaming is a technique followed by many multi-national organizations mainly for multimedia sharing and also for video conferencing. The data to be streamed generally resides on a single server or a network. These days, increasing size of the data on the servers is causing havocking decrease in the overall user experience in multi-media streaming on various platforms. This paper explains about XStream application which proposes a new method for streaming multimedia data stored on a known server. It also provides guaranteed real-time delivery of the data with maximum utilization of network bandwidth.The client can access the server directly after successful authentication. The server and client can be instantiated on Android devices, Windows Desktop or Laptop.
1 illus, 11 ref
Asmita H;Sreenivas J;Kannan N S;Saritha
006199 Asmita H;Sreenivas J;Kannan N S;Saritha (Information Science Dep, , PESIT South Campus, Bangalore) : Accident avoidance and detection. Int J latest Technol Engng Mgmt appl Sci 2016, 5(5), 71-4.
Speeding and drunken drive are the basic reasons for vehicle accident. Many lives could have been saved if emergency service could get accident information and reach in time and if drunken drivers are prevented from driving. Nowadays, GPS has become an integral part of a vehicle system. This paper proposes to utilize the capability of a GPS to send accident location to an Alert Service Center. The accelerometer will monitor speed of a vehicle and measure the impact of collision. Whenever the speed will be below the specified speed, it will assume that an accident has occurred. The system will then send the accident location acquired from the GPS along with the time and the speed by utilizing the GSM network. Also in this paper we check whether the person is drunken or not by using the MQ3 GAS sensor. In this system, sensor circuit is used to detect whether the alcohol was consumed by driver or not. When alcohol concentration is detected then vehicle's information will go to traffic police through GSM and thus preventing accidents. This will help the rescue service to reach in time and save the valuable human life. This paper is based on EMBEDDED C programming using Arduino mega.
5 illus, 9 ref
Sathya D;Krishneswari K
005161 Sathya D;Krishneswari K (Kumaragur College of Technology, Coimbatore, Tamil Nadu, Email: sathy.spj@gmail.com) : Cross-layer intrusion detection system for wireless networks. J scient ind Res 2016, 75(4), 213-20.
In Wireless Sensor Network, the sensor nodes monitor any abnormal events occurring around the business environment to report the emergency alert whenever it detects any abnormality in an environment or report the monitored data continuously or periodically to the base station. These emergency alerts can be stolen or modified by the attackers or in some cases, the sensor nodes can be physically compromised by the attackers, which lead to an unsafe environment. To avoid these problems, Intrusion Detection System is implemented at the base station to filter the abnormal data mostly related to the attacks of network layer. But this paper proposes a novel cross layer rule based intrusion detection system to detect the attacks coming from different layers in Wireless Sensor Networks. The method analyzed several detection rules for Physical, MAC, Network and Application layer attacks. The implementation is done using the rules identified from the IDS techniques available for Wireless Sensor Network. The experimental result shows the detection rate of different attacks on different layers. The performance of cross layer IDS are shown in the graph by making the comparison between the detection rates of various IDS techniques.
3 illus, 3 tables, 21 ref
Sathiyapriya K;Sadasivam G S
005160 Sathiyapriya K;Sadasivam G S (Computer Science and Engineering Dep, PSG College of Technology, Coimbatore, Email: sathya_jambai@yahoo.com) : Hybrid evolutionary algorithm for preserving privacy of sensitive data in quantitative databases. J scient ind Res 2016, 75(7), 399-403.
Association rule mining technique has been widely used in various applications. However, the abuse of this technique may lead to the discovery of sensitive information. Researchers in recent times have made effort for hiding sensitive association rules. But most of the techniques proposed are generally applied in binary dataset. It suffers from side effects of lost and ghost rule. Most business, medical and scientific domains has quantitative value for its attributes. Limited research is available for hiding sensitive information in quantitative data. The aim of privacy preserving quantitative association rule mining is to i. Prevent the discovery of sensitive information. ii. Not to compromise the access and the use of non sensitive data. iii. Be utilizable on large amounts of data iv. Not to have an exponential computational complexity. In this paper, a hybrid evolutionary algorithm is proposed for effectively hiding the sensitive quantitative association rules and for improving the utility of the database. The performance of the proposed system is compared with existing algorithm by measuring number of lost rules, number of ghost rules and number of modifications to the original data.
3 illus, 1 table, 27 ref
Santra A;Radhika Y
005159 Santra A;Radhika Y (NO, Infosys, Hyderabad, Email: arupratan_santra@infosys.com) : Automation testing approach for multilingual application. J scient ind Res 2016, 75(3), 156-8.
Every organization is looking for their business growth across world in this globalized economic scenario with centralize automated system. These systems are mainly developed with the locale languages for respective countries along with English. Software service providers are facing various challenges to develop the quality I18N softwares. Among these challenges, software testing of I18N application is a big challenge in the recent trend. There are various manual test approaches in the testing industry but this paper depicts the automated testing approach and it will help to reduce the testing effort.
3 illus, 6 ref