Secure Data Aggregation in Wireless Sensor Networks Using Privacy Homomorphism

Data aggregation is a complex task in wireless sensor networks because of its limited power and computing capabilities. Due to large scale deployment of sensor nodes for various applications, multiple nodes are required to aggregate the relevant information from huge data sets. This data aggregation process is vulnerable to many security threats due to loss of cryptographic keys, node compromise etc. This eventually leads to breach of confidentiality. In this paper we propose a scheme called Secure Data Aggregation using Privacy Homomorphism (SDAPH) which offers high degree of confidentiality through encrypted data processing. It has lesser computing overhead as it uses additive privacy homomorphism which is a symmetric key homomorphic encryption technique.