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

Nabila Labraoui, Mourad Gueroui, Makhlouf Aliouat, Jonathan Petit

    Research output: Contribution to journalArticleAcademicpeer-review

    3 Citations (Scopus)
    26 Downloads (Pure)


    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.
    Original languageUndefined
    Pages (from-to)1550-1571
    Number of pages22
    JournalJournal of universal computer science
    Issue number11
    Publication statusPublished - 1 Jul 2011


    • EWI-22176
    • Wireless Sensor Networks
    • Security
    • monitoring mechanism
    • Data aggregation
    • METIS-318814
    • IR-81275
    • Availability
    • Accuracy
    • EC Grant Agreement nr.: FP7/269994

    Cite this