Secure Data Aggregation in WSN using Synopsis Diffusion

In a wireless sensor network, a sensor node is severely constrained in terms of communication bandwidth, computation capability and energy reserves. To reduce energy consumption and the amount of communication, many systems also perform in-network data aggregation. A resilient aggregation framework called synopsis diffusion approach which combines multipath routing schemes with duplicate-insensitive algorithms to accurately compute aggregates, such as Count and Sum in spite of message losses resulting from node and transmission failures. Consequently, these systems are vulnerable to wide variety of attacks. In particular we consider two major attacks called false sub aggregate and wormhole attack. In this paper, the synopsis diffusion approach secure against attacks was provide by designing a novel light weight verification algorithm which can be used by the base station to determine the attacks and also the falsified value. The performance was evaluated via both analysis and extensive simulation study which shows that our verification algorithm outperforms other existing approaches.