Swarm intelligence based approach for sinkhole attack detection in wireless sensor networks
An Ant Colony Optimization Attack Detection algorithm is proposed to identify the sinkhole attacks. A voting method is proposed to identify the intruder. An ABXES algorithm is proposed to distribute the keys to the alerted nodes. The alerted nodes use the keys to sign the suspect list to agree on the intruder. It is shown that the proposed method scales well in comparison to LIDeA architecture for sinkhole attack detection.
ant colony optimization artificial intelligence boolean expression minimization message authentication