MULTI ATTRIBUTE MINIMUM THROTTLE APPROXIMATION BASED SINKHOLE DETECTION IN MOBILE ADHOC NETWORKS

The presence of sinkhole attack in mobile adhoc network affects the quality of service of the network and the problem of mitigating sinkhole attack has been handled with different strategies. Still the methods suffers to achieve the mitigation performance and to overcome this issue, an efficient multi attribute minimum throttle approximation algorithm is presented in this paper. The method performs mitigation of sink hole attacks in distributed manner which improves the quality of service of the network. Each node maintains the trace about node energy, node location, displacement speed, and number of transmission involved. Using all these factors of mobile node, the method computes the minimum displacement factor, minimum depletion factor, and maximum transmission factor. Using all these M3 factors computed, an minimum throttle approximation weight is computed. When the node has higher value than the throttle threshold, the node has been identified as malicious and propagated to the network. The method produces efficient results in sink hole mitigation and improves the quality of service of the network.