Abstract
Conference Title: 2017 IEEE Wireless Communications and Networking Conference (WCNC) Conference Start Date: 2017, March 19 Conference End Date: 2017, March 22 Conference Location: San Francisco, CA, USA Data aggregation in WSNs (Wireless Sensor Networks) can effectively reduce communication overheads and the energy consumption of sensor nodes. A WSN needs to be not only energy efficient, but also secure. Various attacks may make data aggregation unsecure. We investigate the reliable and secure endto- end data aggregation problem considering selective forwarding attacks and modification attacks in homogeneous cluster-based WSNs, and propose two data aggregation approaches. Our approaches, namely, Sign-Share and Sham-Share, use secret sharing and signatures to allow aggregators to aggregate the data without understanding the contents of messages and the base station to verify the aggregated data and retrieve the raw data from the aggregated data. We have performed extensive simulations to compare our approaches with the two state-of-theart approaches PIP and RCDA-HOMO. The simulation results show both Sign-Share and Sham-Share are faster in processing and aggregating data.