FILTERING FALSE INJECTED DATA AND AGGREGATION USING ITERATIVE FILTERING ALGORITHM IN WIRELESS SENSOR NETWORK

ABSTRACT Data aggregation in case of multiple sensor nodes can be achieved using easy and simple method called as aggregating the node like averaging. This simple method of aggregation is highly vulnerable to node that can trigger attacks. As we know that Wireless Sensor Network (WSN) is highly vulnerable to attacks, the credibility of data aggregation and the reputation of sensor nodes are crucial. A low power processor can improve the performance of WSN and the future aggregator nodes will be able to perform more complicated data aggregation algorithms. In this paper we demonstrate various existing secure data aggregation algorithms and consider the most significant approach against collusion attacks. To overcome the various security issues we propose the modified Iterative Filtering (IF) techniques by providing an initial approximation for algorithms that makes it collusion robust and also faster converging and accurate. Keywords:-Data aggregation, Iterative Filtering, WSN, Collusion attacks