• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Computer Science & Engineering
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Computer Science & Engineering
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Combating jamming attacks in multi-channel IoT networks using game theory

    Thumbnail
    Date
    2020-03
    Author
    Guizani, Mohsen
    Gouissem, A.
    Abualsaud, K.
    Yaacoub, E.
    Khattab, T.
    Metadata
    Show full item record
    Abstract
    Jamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the increase in transmission power or the implementation of complex coordination schemes which are not feasible in limited resources Internet of Things (IoT) devices. Therefore, in this paper, a defending strategy against jamming attacks is designed for health monitoring IoT networks with multiple Orthogonal frequency-division multiplexing (OFDM) slow fading channels. In particular, minimizing the worst case jamming effect on the IoT sensors communications is modeled as a Colonel Blotto game. By analyzing the Nash Equilibrium (NE) of the game, an anti-jamming power allocating strategy is proposed and is shown to be effective in combating jamming attacks without the need for extra power and resources.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085574832&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/ICICT50521.2020.00081
    http://hdl.handle.net/10576/60463
    Collections
    • Computer Science & Engineering [‎2428‎ items ]
    • Electrical Engineering [‎2821‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video