Secure Data Aggregation to Preserve Data and Key Privacy in Wireless Sensor Networks with Multiple Sinks

Abstract

Reliable and trustful data aggregation is an important to be addressed in Wireless Sensor Networks (WSNs). In this paper, we proposed a new technique to protect key and data in data aggregation called Secure Data Aggregation to Preserve Data and Key Privacy in Wireless Sensor Networks with Multiple Sinks (SAPDKP). The multiple sinks concepts used in this method consume less energy in the computational and communicational overhead. The security issues such as data confidentiality, data integrity, data freshness and data authentication are preserved in this technique. It uses very simple technique to perform aggregation and encryption. The multiple sink nodes perform analysis to identify the distrustful group and retransmission of data takes place for that group. Our simulation result proved that implementation of SAPDKP decreases the communication overhead and energy consumption compared with existing work. The multiple sinks concept increases the reliability of data and also reduces the number of data transmission in the network.