Detection of False Sub Aggregated Data in Wireless Sensor Networks

Abstract: In wireless sensor networks data aggregation is one of the major issues. To aggregate the data a robust aggregation framework called synopsis diffusion which combines multi path routing algorithm to accurately aggregate the data in case of failures, Nodes are compromising due to the lack of physical protection. Compromised nodes are very vulnerable to attacks in sensor networks. By taking this is an advantage adversary can launch false data over the network. Here a novel light weight verification algorithm performed by the sink node or base station and that can determine any false sub-aggregate data in the aggregated data. It contributes to make synopsis diffusion approach in secure against attacks on compromised node which false sub-aggregate the data. Theoretical analysis and extensive simulations have been conducted and verified.

Keywords: Base station, data aggregation, synopsis diffusion.