Truthful spectrum auction for efficient anti-jamming in cognitive radio networks

Mohammad Aghababaie Alavijeh, Behrouz Maham, Zhu Han, Walid Saad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

One significant challenge in cognitive radio networks is to design a framework in which the selfish secondary users are obliged to interact with each other truthfully. Moreover, due to the vulnerability of these networks against jamming attacks, designing anti-jamming defense mechanisms is equally important. In this paper, we propose a truthful mechanism, robust against the jamming, for a dynamic stochastic cognitive radio network consisting of several selfish secondary users and a malicious user. In this model, each secondary user participates in an auction and wish to use the unjammed spectrum, and the malicious user aims at jamming a channel by corrupting the communication link. A truthful auction mechanism is designed among the secondary users. Furthermore, a zero-sum game is formulated between the set of secondary users and the malicious user. This joint problem is then cast as a randomized two-level auctions in which the first auction allocates the vacant channels, and then the second one assigns the remaining unallocated channels. Simulation results show that the distributed algorithm can achieve a performance that is close to the centralized algorithm.

Original languageEnglish
Title of host publication2017 IEEE Symposium on Computers and Communications, ISCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages742-747
Number of pages6
ISBN (Electronic)9781538616291
DOIs
Publication statusPublished - Sep 1 2017
Event2017 IEEE Symposium on Computers and Communications, ISCC 2017 - Heraklion, Greece
Duration: Jul 3 2017Jul 7 2017

Conference

Conference2017 IEEE Symposium on Computers and Communications, ISCC 2017
CountryGreece
CityHeraklion
Period7/3/177/7/17

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Mathematics(all)
  • Computer Science Applications
  • Computer Networks and Communications

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  • Cite this

    Alavijeh, M. A., Maham, B., Han, Z., & Saad, W. (2017). Truthful spectrum auction for efficient anti-jamming in cognitive radio networks. In 2017 IEEE Symposium on Computers and Communications, ISCC 2017 (pp. 742-747). [8024616] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCC.2017.8024616