A METHOD OF IMPROVING DETECTION RATIO THROUGH CLUSTER SECURITY THRESHOLD MANAGEMENT IN CFFS

Today, security is becoming more important as more WSN applications are developed. In a sensor network, an attacker can easily physically acquire and compromise the node, and such threats can be used to inject false reports into the network. The Cluster-based False Data Filtering Scheme (CFFS), a recently proposed security protocol, divides the nodes into cluster units, and the nodes verify the report. This scheme exhibits a high false report filtering performance, but does not consider the regional environment. Further, this scheme consumes a lot of energy in areas where no attacks occur. Energy management is important because nodes are difficult to charge or replace after deployment. This paper proposes an independent security threshold setting method considering regional characteristics using a fuzzy system to select appropriate security boundaries. In the fuzzy system, the appropriate security threshold value is output considering the false report ratio, ratio of the damaged key, and residual energy of the node. Experimental results show that the proposed method improves the energy efficiency by an average of 11.717% over CFFS.