Group-based trust management scheme for clustered wireless sensor networks

Riaz Ahmed Shaikh, Hassan Jameel, Brian J. d'Auriol, Heejo Lee, Sungyoung Lee, Young Jae Song

    Research output: Contribution to journalArticlepeer-review

    317 Citations (Scopus)

    Abstract

    Traditional trust management schemes developed for wired and wireless ad hoc networks are not well suited for sensor networks due to their higher consumption of resources such as memory and power. In this work, we propose a new lightweight Group-based Trust Management Scheme (GTMS) for wireless sensor networks, which employs clustering. Our approach reduces the cost of trust evaluation. Also, theoretical as well as simulation results show that our scheme demands less memory, energy, and communication overheads as compared to the current state-of-the-art trust management schemes and it is more suitable for large-scale sensor networks. Furthermore, GTMS also enables us to detect and prevent malicious, selfish, and faulty nodes.

    Original languageEnglish
    Pages (from-to)1698-1712
    Number of pages15
    JournalIEEE Transactions on Parallel and Distributed Systems
    Volume20
    Issue number11
    DOIs
    Publication statusPublished - 2009

    Bibliographical note

    Funding Information:
    This research was supported by the MKE (Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Advancement) (IITA-2009-(C1090-0902-0002)) and was supported by the IT R&D program of MKE/KEIT [10032105, Development of Realistic Multiverse Game Engine Technology]. This work also was supported by the Brain Korea 21 projects and Korea Science & Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (No. 2008-1342). The corresponding author is Sungyoung Lee.

    Keywords

    • Security
    • Sensor networks
    • Trust evaluation
    • Trust management
    • Trust modeling

    ASJC Scopus subject areas

    • Signal Processing
    • Hardware and Architecture
    • Computational Theory and Mathematics

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