RAHIM: Robust Adaptive Approach Based on Hierarchical Monitoring Providing Trust Aggregation for Wireless Sensor Networks

In-network data aggregation has a great impact on the energy consumption in large-scale wireless sensor networks. however, the resource constraints and vulnerable deployment environments challenge the application of this technique in terms of security and efficiency. a compromised node may forge arbitrary aggregation value and mislead the base station into trusting a false reading. in this paper, we present rahim, a reactive defense to secure data aggregation scheme in cluster-based wireless sensor networks. the proposed scheme is based on a novel application of adaptive hierarchical level of monitoring providing accuracy of data aggregation result in lightweight manner, even if all aggregator nodes and a part of sensors are compromised in the network.