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Wireless mobile networks consist of autonomous with a limited battery life; there are many challenges in identifying false data. False data is generally detected and dropped by the sink, but the false data travelling in the network causes a lot of battery wastage. The work presented in this paper concerns about filtering the false data in the routing nodes before it reaches the sink and saves the resources. The proposed solution involves using advanced encryption standard (AES) by deploying keys to the mobile ad hoc nodes when the network is first deployed. The data is verified by usage of message authentication code. Location and the time stamp of the forwarding nodes is monitored to detect unusual activity by the forwarding nodes. Keywords: gang injection; advanced encryption standard; AES; cooperative authentication; location mitigation. Reference to this paper should be made as follows: Poongodi, M., Bose, S. and Ganeshkumar, N. (2015) ` using optimal feature selection algorithm', Int. J. Enterprise Network Management, Vol. 6, No. 4, pp.263274. Biographical notes: M. Poongodi received her BTech in Information Technology from Anna University, Tamil Nadu, India in the year 2009 and the ME Master's degree in Computer Science and Engineering from St. Peter's
International Journal of Enterprise Network Management – Inderscience Publishers
Published: Jan 1, 2015
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