Grey Hole Attack Detection and Prevention Methods in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) gained wide attention in the past decade, thanks to its attractive features like flexibility, monitoring capability, and scalability. It overcomes crucial problems experienced network management facilitates development of diverse architectures. The existence dynamic adaptive routing facilitate quick formation such networks. But flexible architecture also makes it highly vulnerable different sorts attacks, for instance, Denial Service (DoS). Grey Hole Attack (GHA) is most attack types since creates a heavy impact upon components WSN eventually degrades performance network. In current study, simple detection, prevention reduction approach proposed. This secure from GHA other attacks by warning blocking malicious suspensions examining storage table. Instead entire host, presented specifically eliminates nodes. Further, case no traffic host gets unblocked. researchers simulated model under MATLAB environment outcomes showed an enhanced increased utilization Central Processing Unit (CPU) packet delivery ratio.