JUCS - Journal of Universal Computer Science 17(11): 1550-1571, doi: 10.3217/jucs-017-11-1550
RAHIM: Robust Adaptive Approach Based on Hierarchical Monitoring Providing Trust Aggregation for Wireless Sensor Networks
Nabila Labraoui‡, Mourad Gueroui§, Makhlouf Aliouat|, Jonathan Petit¶‡ STIC University of Tlemcen, Tlemcen, Algeria§ PRISM University of Versailles, Versailles, France| Algeria, Setif, Algeria¶ University of Twente, Enschede, Netherlands
Corresponding author: Nabila Labraoui ( labraouinabila@yahoo.fr ) © Nabila Labraoui, Mourad Gueroui, Makhlouf Aliouat, Jonathan Petit. This article is freely available under the J.UCS Open Content License. Citation:
Labraoui N, Gueroui M, Aliouat M, Petit J (2011) RAHIM: Robust Adaptive Approach Based on Hierarchical Monitoring Providing Trust Aggregation for Wireless Sensor Networks. JUCS - Journal of Universal Computer Science 17(11): 1550-1571. https://doi.org/10.3217/jucs-017-11-1550 |  |
Abstract
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.
Keywords
accuracy, availability, data aggregation, monitoring mechanism, wireless sensor networks, security