A Compromised Cluster Detection Method in Dynamic En-route Filtering Utilizing False Reports of Wireless Sensor Networks

Sensor nodes of wireless sensor networks are deployed in open environments. Hence, an attacker can easily compromise the node. An attacker can compromise a node to generate false reports and inject them into the network. This causes unnecessary energy consumption associated with the process of transmitting false alarm messages and false data reports to the system. If the attacker keeps repeatedly attacking, the attacks will cause problems such as a reduction in the entire network life or disabling of the networks. Yu and Guan proposed a dynamic en-route filtering scheme to detect and drop these false reports before they reach the base station. In dynamic en-route filtering, the energy waste of the intermediate nodes occurs until it is detected early. In this paper, we propose a method to save the energy of the intermediate nodes by searching for the compromised node and blocking the reports generated at that node. When verifying a false report at the verification node, it can know its report information. The base station is able to find the cluster of compromised nodes using that information. In particular, by knowing the location of the node that has been compromised, we can block false alarms and energy losses by blocking reports generated in that cluster.