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DETECTING SYBIL ATTACK USING HYBRID FUZZY K-MEANS ALGORITHM IN WSN
Shipra Diwakar,  Dr. R. Kashyup
Security in Wireless Sensor Networks is an important issue of concern in recent years. Many researchers have proposed various techniques for the detection and recovery of malicious nodes in the network and compared their merits and demerits with the existing approaches. Attacks in the network are caused due to the vulnerability of the nodes in the network which results in the loss of data of the node and the routing data. In the proposed approach a Hybrid Fuzzy K-means algorithm is used for the detection of Sybil attacks. The proposed approach combines the fuzzy approach and the k-means classification approach.
Keywords- Sybil Attack, WSN
Unique Identification Number - IJEDR1702245Page Number(s) - 1560-1565Pubished in - Volume 5 | Issue 2 | June 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Shipra Diwakar,  Dr. R. Kashyup,   "DETECTING SYBIL ATTACK USING HYBRID FUZZY K-MEANS ALGORITHM IN WSN"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1560-1565, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702245.pdf