CTV: Consistent Trust Value through Data Drop Monitoring Parameters Based Malicious Behaviour Detection in MANET
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
Abstract: Growth of wireless technologies with its increased user demands of applications makes this area more vulnerable for attackers and intruders. The attacker continuously trying to affects the communication and getting the benefits from gamming the network with higher data drop rates. Among them, the most famous and dangerous attacks is blackhole by which a node starts dropping a data and behaving as a normal node. During the last few years various solutions are provided for overcoming the active and passive blackhole detection and termed as malicious node detections. Any node, affecting the actual performance or operation of network will be termed as malicious node and blackhole is its one category. The existing mechanism only detects the static blackhole attacks but is not capable to detect sudden change in the behavior of node from legitimate to malicious. Thus this paper proposes a CTV (Consistent Trust Value) mechanism based on some of the performance parameter analysis such as PDR, throughput, delays and TTL values by which timely triggered and normal blackhole node is detected with higher accuracy. By regular analysis those improper behaviour is detected in timely manner and reduces the probability of data drops. At the initial level of evaluation the approach is proving its strong presence among the existing methods.
Authors and Affiliations
Siddharth Shukla , Prof (Dr. ) Jayant Shekhar, , Amit Kumar
Keywords
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- EP ID EP94334
- DOI 10.9790/0661-162127379
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