An Improved Method for Probabilistic Voting-Based Filtering Using Blacklists in Sensor Networks

False report injection attacks and false vote injection attacks can be perpetrated easily by malicious attackers on the application layer in a wireless sensor network. These attacks drain the lifetime of the sensor nodes and prevent the forwarding of legitimate reports in the sensor network. A Probabilistic Voting-based Filtering Scheme (PVFS) was proposed in order to drop these two types of attacks simultaneously in intermediate cluster heads. Before, transmitting a report, the scheme selects verification nodes within the intermediate cluster nodes to detect false votes attached from compromised nodes. In this paper, the authors propose a method to improve the detection power and energy savings by using a blacklist in every cluster head. The blacklist stores each compromised node ID and false key.