A Secure Data Aggregation Algorithm Based on Behavior Trust in Wireless Sensor Networks

In wireless sensor networks (WSNs), secure data aggregation is an important application. Previous works are implemented by authentication among neighboring sensors. Considering that in many cases, data aggregation is both spatial and temporal correlation, this paper proposes a distributed and localized secure data aggregation algorithm based on behavior trust (BTDA). The security and reliability of the algorithm are implemented by using statistical hypothesis test for matching the reading sequence of sensors and statistical characteristics of the data aggregation. Simulation shows the algorithm efficiently.