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Rengarajan, A.
- Optimization of Recent Attacks Using Internet Protocol
Authors
Source
National Journal of System and Information Technology, Vol 5, No 1 (2012), Pagination: 8-24Abstract
The Internet threat monitoring (ITM) systems have been deployed to detect widespread attacks on the Internet in recent years. However, the effectiveness of ITM systems critically depends on the confidentiality of the location of their monitors. If adversaries learn the monitor locations of an ITM system, they can bypass the monitors and focus on the uncovered IP address space without being detected. In this paper, we study a new class of attacks, the invisible LOCalization (iLOC) attack. The iLOC attack can accurately and invisibly localize monitors of ITM systems. In the iLOC attack, the attacker launches low-rate port-scan traffic, encoded with a selected pseudo noise code (PN-code), to targeted networks. While the secret PN-code is invisible to others, the attacker can accurately determine the existence of monitors in the targeted networks based on whether the PN-code is embedded in the report data queried from the data center of the ITM system. We formally analyze the impact of various parameters on attack effectiveness. We implement the iLOC attack and conduct the performance evaluation on a real-world ITM system to demonstrate the possibility of such attacks. We also conduct extensive simulations on the iLOC attack using real-world traces. Our data show that the iLOC attack can accurately identify monitors while being invisible to ITM systems. Finally, we present a set of guidelines to counteract the iLOC attack.Keywords
Internet Threat Monitoring, Invisible Localization Attack, PN-code, Security, Attack Traffic, Traffic Rate
References
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- Determining the Existence of Quantitative Association Rules in Data Mining
Authors
1 Department of IT, RMDEC, Chennai, IN
2 Department of IT, Sree Sastha Institute of Technology, IN
3 Department of CSE, RMKEC, Chennai, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 6 (2010), Pagination:Abstract
Determining the association rules is a core topic of data mining. This survey paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field, and envisioning possible future trends in this area. The theories behind association rules are presented at the beginning. Comparison of different algorithms is provided as part of the evaluation.
- A Novel Method for Energy Effectiveness by Employing Adaptive Node Coverage Region
Authors
1 Department of Computer Science and Engineering, Vel Tech Multi Tech Engineering College, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 2 (2016), Pagination:Abstract
Objectives: Tasks are conducted depending upon the cooperation of the nodes in generic ad hoc network. This paper examines the efficiency of the node cooperation incentives which are delivered through the schemes, by ANC approach. Methods: The current proposed scheme diminishes the traditional transmission range by adapting the dissimilarities radio range in real time, by comparing the node distance i.e., greater than acceptable threshold gathering their node coverage area by sending the Hello packets among the nodes. During such thing it has been measured the resilience metric to find out what extend the path protects a multiple cast tree to specific protection against single link failure propose method to strengthen the fast reroute for repair the current consistency nodes and to initiate the update procedure of the transmission range, by this ANC model, one can examine the collaboration incentives successful packet delivered through these dual schemes through no cooperation incentive approach. Findings: The speculative and simulation outcomes display the advantage of the united system over the discrete system and its metrics like battery life, distance, position and mobility is done based on the factors such as node density, coverage area, contention index, and current node degree of the nodes in the networks. Applications/Improvements: The problem of transmission range adjustment in a multi-hop wireless network context is discussed with an optimized technique and also evaluated our approach in the case of a uniform node distribution and findings confirm the previous results. An analytical model that provides an estimation of the transmission area too designed.
Keywords
Ad Hoc Networks, Transmission Range, Power Optimization, Topology FormationFull Text
- Data Hiding in Encrypted Images Using Arnold Transform
Authors
1 Department of Computer Science and Engineering, Bharath University, IN
2 Department of Computer Science and Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, IN
Source
ICTACT Journal on Image and Video Processing, Vol 7, No 1 (2016), Pagination: 1339-1344Abstract
Digital image steganography has several applications in information security and communication. Data hiding in encrypted images ensure that both the cover image and the secret message can be recovered at the receiver end. This work presents a novel data hiding and image encryption scheme using random diffusion andTwo dimensional Arnold cat mapping transform. The secret message bits are placed in the least significant bit positions of the cover image. Then a shared key is used to generate random 8 bit random integer stream and is added to the stego image in the random diffusion step. Arnold cat mapping transformation is done to scramble the pixels. The two steps of random diffusion and Arnold transform mapping are done alternatively several times to completely encrypt the image contents. The process is reversed at the receiver end to get both the secret messageand the cover image with little loss. The random diffusion step overcomes the limited period of the Arnold transform.Theembedding capacity of one bit per pixel is achieved. Security analysis is carried out which shows that the encryption is highly secure. The number of collisions is low thus preventing brute force attacks. The original cover image is recoverable with minimal losses.Keywords
Digital Images, Steganography, Arnold Transform, Data Hiding, Image Encryption.- Unreliable Node Detection by Elliptical Curve Diffe-Hellman Algorithm in MANET
Authors
1 Department of Computer Science and Engineering, St. Peter’s University, Chennai - 600 054, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Vel Tech Multi Tech Dr. Rangarajan, Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 19 (2016), Pagination:Abstract
Objective: The purpose of this scheme is to detect unreliable node from routing and provide reliable data transmission in MANET. Method: The openness in network topology and deficiency of the central administration leads to vulnerable attack in MANET. In order to decrease the threat in Mobile Ad-hoc Network (MANET), we propose Unreliable node Detection by Elliptical Curve Diffe-Hellman in MANET (UD-ECDH). Findings: The UD-ECDH scheme exchanges the secret key to detect the unreliable node and isolate from routing thus increasing the network performance. Improvement: The simulation results show that this scheme assure better packet delivery, improve throughput, reduces the delay and energy consumption in the network.Keywords
Elliptical Curve Diffe-Hellman Algorithm, Energy, MANET, Reliability.Full Text
- Perception and Eradication of Energy Exhausting Attacks in WSN
Authors
1 Department of Computer Science and Engineering, St. Peter’s University, Avadi, Chennai - 600054, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN
3 Department of Information Technology, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN
4 Department of Computer Science and Engineering, ASET, Palakad - 678557, Kerala, IN
Source
Indian Journal of Science and Technology, Vol 9, No 22 (2016), Pagination:Abstract
Microwaves ad-hoc feeler groups are spatially distributed self governing sensors to examine physical or environmental conditions and for conveyance purposes. Besides all the comforts of the life wireless network spouses serious security threats. Here we implement a simulation based model by using both dynamic threshold algorithm and recursive algorithm and hidden terminal process is used to transfer the data packets to the outer region nodes without any hazards. The proposed method detects the attack and restrain from the attacker node in the network based on CS (Cognitive Sensing) node.Keywords
Cognitive Sensing, Dynamic Multicast Routing Protocol, Denial of Service, Hidden Terminal Communication Scheme, Recursive Algorithm, Wireless Sensor Network.Full Text
- Mining Scalable Multidimensional Sequential User Access Logs Using Parallel Partitioning Transaction Reduction Algorithm
Authors
1 Bharathiar University, Coimbatore, Tamil Nadu, IN
2 Department of CSE, Veltech Multitech Dr.RS Engineering College, Avadi, Chennai, Tamil Nadu, IN
Source
Software Engineering, Vol 10, No 1 (2018), Pagination: 6-12Abstract
Web usage mining refers to the automatic discovery and analysis of patterns in click stream generated as a result of user interactions with Web resources on one or more Web sites. The primary data sources used in Web usage mining are the server log files, which include Web server access logs and application server logs. The web usage mining techniques are used to analyze the web usage patterns for a web site. The user access log is used to fetch the user access patterns. These patterns are preprocessed with many preprocessing methods like data fusion, data cleaning, session identification, exclusive user identification, page view identification, term view identification and path completion. To make the entire preprocessing faster, Hash map is used for its data organization. After preprocessing, it gives an isolated group of users with common interests. The complete preprocessing has done with the usage patterns stored in a web server access logs in order to provide clean, unique and reduced dataset for pattern mining. This automatically reduced the original size of dataset which makes it easier of pattern mining, analysis and increases the prediction accuracy. There are numerous pattern mining approaches which can be applied on purified data. The preprocessing practices will exploit the quality of pattern mining methodologies and the results can be used for recommended systems to find the behavior of a user. Key objective is to wide-ranging the above activities with high speed and achieve high prediction accuracy by concentrating on data preprocessing, discovery curious patterns and assessment.
Keywords
Common Interests, Server Log Files, Preprocessing, Hash Map, Exclusive User Identification, Page View Identification, Matrix Transaction Reduction.References
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- “Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data” JaideepSrivastava * t, Robert Cooley:l: , MukundDeshpande, Pang-Ning Tan
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