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Adaptive approach to restraining content pollution in peer-to-peer networks

Author

Listed:
  • Mohammed Hawa

    (The University of Jordan)

  • Raed Al-Zubi

    (The University of Jordan)

  • Khalid A. Darabkh

    (The University of Jordan)

  • Ghazi Al-Sukkar

    (The University of Jordan)

Abstract

Peer-to-Peer (P2P) networks face the challenge of frequent pollution attacks. In such attacks, malicious peers pollute the network by sharing mislabeled, corrupt or infected content in an attempt to disrupt the system and waste network resources. When faced by such phenomenon, regular peers get discouraged from participating in the P2P network as they find less value in the system. In this work, we investigate the amount of resources required to restrain pollution attacks by means of content validation. We introduce multiple adaptive techniques that can minimize the spread of polluted content, while at the same time reduce the cost of content validation for peers participating in the network. Furthermore, the proposed pollution-restraint techniques are resistant to collusion from malicious peers, and they do not contribute to excessive communication overhead in the P2P network.

Suggested Citation

  • Mohammed Hawa & Raed Al-Zubi & Khalid A. Darabkh & Ghazi Al-Sukkar, 0. "Adaptive approach to restraining content pollution in peer-to-peer networks," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-016-9651-0
    DOI: 10.1007/s10796-016-9651-0
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    References listed on IDEAS

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    1. Pratik Narang & Chittaranjan Hota, 2015. "Game-theoretic strategies for IDS deployment in peer-to-peer networks," Information Systems Frontiers, Springer, vol. 17(5), pages 1017-1028, October.
    2. Hung-Yi Teng & Chien-Nan Lin & Ren-Hung Hwang, 2014. "A self-similar super-peer overlay construction scheme for super large-scale P2P applications," Information Systems Frontiers, Springer, vol. 16(1), pages 45-58, March.
    3. Jianxin Liao & Di Yang & Tonghong Li & Jingyu Wang & Qi Qi & Xiaomin Zhu, 2014. "A scalable approach for content based image retrieval in cloud datacenter," Information Systems Frontiers, Springer, vol. 16(1), pages 129-141, March.
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    Cited by:

    1. Stephan Berger & Björn Häckel & Lukas Häfner, 2021. "Organizing Self-Organizing Systems: A Terminology, Taxonomy, and Reference Model for Entities in Cyber-Physical Production Systems," Information Systems Frontiers, Springer, vol. 23(2), pages 391-414, April.

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