IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v19y2017i6d10.1007_s10796-016-9651-0.html
   My bibliography  Save this article

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, 2017. "Adaptive approach to restraining content pollution in peer-to-peer networks," Information Systems Frontiers, Springer, vol. 19(6), pages 1373-1390, December.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:6:d:10.1007_s10796-016-9651-0
    DOI: 10.1007/s10796-016-9651-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-016-9651-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-016-9651-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Ching-Hsien Hsu & Jianhua Ma & Mohammad S. Obaidat, 2014. "Dynamic intelligence towards merging cloud and communication services," Information Systems Frontiers, Springer, vol. 16(1), pages 1-5, March.
    3. Sanjaya K. Panda & Indrajeet Gupta & Prasanta K. Jana, 0. "Task scheduling algorithms for multi-cloud systems: allocation-aware approach," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    4. Mengyue Wang & Xin Li & Patrick Y. K. Chau, 2021. "Leveraging Image-Processing Techniques for Empirical Research: Feasibility and Reliability in Online Shopping Context," Information Systems Frontiers, Springer, vol. 23(3), pages 607-626, June.
    5. Jun Li & Cuilian Li & Zhaoxi Fang & Haoyun Wang & Yaohui Wu, 2016. "Optimal layer division for low latency in DHT‐based hierarchical P2P network," International Journal of Network Management, John Wiley & Sons, vol. 26(2), pages 95-110, March.
    6. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    7. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
    8. Chittaranjan Hota & Shambhu Upadhyaya & Jamal Nazzal Al-Karaki, 2015. "Advances in secure knowledge management in the big data era," Information Systems Frontiers, Springer, vol. 17(5), pages 983-986, October.
    9. Sanjaya K. Panda & Indrajeet Gupta & Prasanta K. Jana, 2019. "Task scheduling algorithms for multi-cloud systems: allocation-aware approach," Information Systems Frontiers, Springer, vol. 21(2), pages 241-259, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:19:y:2017:i:6:d:10.1007_s10796-016-9651-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.