Time Based Detection and Mitigation of Black Hole At-tack in WSN Using FBPE and MN-ID Algorithm

Abstract

Wireless sensor networks (WSN) define the field of network that consists of small to large number of autonomous Sensing Nodes, which are distributed spatially and possess the sensing, computational and transmission capabilities.  Though being very much equipped the Sensing Nodes, also suffer from limitations, the main of them being low power devices, and the problem of data security and data privacy.  The nodes being spatially deployed according to the target plan make the network highly vulnerable to internal and external attacks.  Hence making security in WSNs a challenge.

A leading DoS attack on WSN is the Black hole attack.  In Black hole attack, a malicious node always gives the false replay for any Route request without having specified route to the destination and drops all the received packets.  In this paper, we have proposed a three-tier technique to detect and mitigate the Black hole attack. We have proposed TDS a time-period based network intrusion detection technique, which would sense the whole network cluster for any ambiguity and then validating the attack as blackhole attack by FBPE method, and then finally mitigating it by MN_ID method.