An Attack-Resilient Computation Algorithm To Compute Successful Aggregates In The Presence Of Attacks
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 11
Abstract
In-network data aggregation can decrease the amount of communication and hence the energy consumed especially in large WSNs. The main idea is to unite partial results at intermediate nodes during message routing. One approach is to build a spanning tree rooted at the BS and then perform in-network aggregation along the tree. The important aggregates considered by the research community include Count and Sum. It is simple to simplify these aggregates to predicate Count and Sum. We can also simply expand a Sum algorithm to compute Standard Deviation and Statistical Moment of any order. The possibility of node compromise introduces more challenges because most of the existing in-network aggregation algorithms have no provisions for security. A compromised node might effort to prevent the aggregation process by launching several attacks such as eavesdropping, jamming, message dropping, message fabrication and so on. This paper focuses on a subclass of these attacks in which the adversary aims to cause the BS to derive an incorrect aggregate.
Authors and Affiliations
P. Raj Priyanka, B. Lakshmana Rao
Keywords
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