Abstract:

Clustering is the most important task in wireless sensor network (WSN), which is characterized by data aggregation through each cluster head (CH), and reduces transportation costs. Because wireless sensor network is deployed in remote and hostile environments to transmit sensitive information, sensor nodes are more vulnerable to false data injection attacks. To overcome these existing issues and enhance the network security, this paper proposes a secure area based clustering approach for data aggregation using traffic analysis (SAC-TA) in WSN. The sensor network is grouped into small clusters, each of which has a CH to manage and collect information from normal sensor nodes. The CH is selected according to the predefined time slot, cluster center and maximum residual energy. The collected data is verified based on traffic analysis and one-time key generation process to identify malicious nodes on the route, provide a secure data collection process and improve energy efficiency. The simulation results show that compared with the existing secure data aggregation technology (SDAT), SAC-TA has lower average energy consumption rate, lower end-to-end delay, higher average residual energy, higher data aggregation accuracy and error data detection rate.

Key words: false data injection attacks, data aggregation, one-time key generation, wireless sensor network