Energy measure cluster based concealed aggregation for confidentiality and integrity in WSN

Abstract

Wireless sensor networks (WSNs) is a network of resource constrained sensors deployed in unattended region for environmental monitoring. The resource constrained and ad-hoc nature of WSN stances lot of challenges to the research community when designing protocols for such environments. Now a days WSN is widely deployed from environmental monitoring to military applications. So secure data transmission is mandated in WSNs when it is used for mission critical applications. Data aggregation is a widely used method in WSNs for reducing communication overhead by mitigating unwanted data transmissions. But upholding accuracy of such aggregated data and providing security for the same is a challenging task. In this paper we propose Cluster based Concealed data Aggregation for Confidentiality and Integrity(C-CASIN) in WSN. It uses Elliptic Curve Cryptography based Elgamal additive homomorphic encryption scheme for providing Confidentiality and Integrity.EC-Elgamal Signature algorithm supports for authenticity. By supporting end-to-end encryption proposed method provides security with reduced computation and communication overheads. Results show that proposed method defend against various possible attacks and malicious behavior with the extended network lifetime of 15 to 20 percentage when comparing with basic secure model.