Abstract: Data aggregation method in Wireless Sensor Network (WSN) is usually vulnerable to various faults and security attacks which often results in alteration of data during the transmission. In order to overcome these issues, in this study, Trust based Secured Data Aggregation for Privacy Protection and Integrity is proposed for WSN. The aggregator analyses the data from each nodes and determines the different possibility of occurrence of the event to determine whether the action of node is correct or erroneous. Each node generates its local synopsis and sends it to the aggregator node. The aggregator node checks the trust worthiness of the received data. If valid, then the data is encrypted and data from all sensors are aggregated and forwarded to the base station. The generated report is then sent to the base station by the aggregator for verification of the malicious or liar node. The main advantage of our proposed technique is that it provides a robust method to increase security during data aggregation.
J. Jean Justus and A. Chandrasekar, 2016. Trust Based Secure Data Aggregation for Privacy Protection and Integrity in WSN. Asian Journal of Information Technology, 15: 1552-1558.