Sinkhole Attack Detection in A Wireless Sensor Networks using Enhanced Ant Colony Optimization to Improve Detection Rate

Wireless Sensor Networks (WSN) comprises of tiny sensor nodes that are able sense and process data. Sinkhole attack occurs when an attacker node in a wireless sensor network disguises itself as the legitimate node closest to the base station, in order to have all data pass through hence having the opportunity to modify, drop or delay data going to the base station. In this conceptual framework, we propose a sinkhole detection scheme enhancing ant colony optimization to improve sinkhole detection via packet drop, packet delivery rate, energy exchange and throughput in a wireless sensor network. Initial results and expected outcome are shown and further research will also be discussed.