The Impact of Collusion Attacks in WSN with Secure Data Aggregation System

Abstract

At present, limitations of the computing power and energy resource of sensor nodes causes data to be aggregated by extremely simple algorithms such as averaging. Iterative filtering algorithms are the most effective solution for such purpose. These algorithms simultaneously aggregate data from multiple sources and provide trust estimation of these sources, usually in a form of corresponding weight factors assigned to data provided by each source. In this paper we analyzed some secure data aggregation mechanisms and introduced a new complicated collusion attack with its impact on wireless sensor networks.