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VND-NN: Neural Network Based Vampire Node Detection in Wireless Sensor Networks


Rama Chaithanya Tanguturi, C Jayakumar
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Wireless sensor networks are widely used for environment monitoring. The sensor nodes are deployed in the areas of interest to obtain the physical world data. These nodes are resource constrained in power, memory and computation. Boarder security is one of the major applications of WSNs. The sensor nodes are mounted with the environmental sensors (temperature, pressure etc.,) to monitor the environment and forward the sensed data to the base station via mobile sinks. Adversary can easily capture nodes from the network because they are not tamper proof in nature. Once the attacker succeed in capturing a legitimate sensor node, can introduce a variety of attacks. Vampire attack a potential attack in WSNs, which is a resource draining attack. The compromised nodes will misbehave with the legitimate nodes in the network and tries to drain the resources continuously resulting in network collapse. In this paper a neural network based misbehavior node detection algorithm is proposed. The simulation result shows that the proposed model effectively detects the misbehavior nodes and conserves the network resources.

Rama Chaithanya Tanguturi, C Jayakumar

Neural network, wireless sensor network, misbehavior, security.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
454-456 IJSRSET1622132   Technoscience Academy

Cite This Article

Rama Chaithanya Tanguturi, C Jayakumar, "VND-NN: Neural Network Based Vampire Node Detection in Wireless Sensor Networks", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.454-456, March-April-2016.
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