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Anti-jamming Strategies: A Stochastic Game Approach

Garnaev, Andrey ; Trappe, Wade Tran-Gia, Phuoc ; Zinner, Thomas ; Agüero, Ramón ; Timm-Giel, Andreas ; Goleva, Rossitza

Mobile Networks and Management, p.230-243

Cham: Springer International Publishing

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  • Título:
    Anti-jamming Strategies: A Stochastic Game Approach
  • Autor: Garnaev, Andrey ; Trappe, Wade
  • Tran-Gia, Phuoc ; Zinner, Thomas ; Agüero, Ramón ; Timm-Giel, Andreas ; Goleva, Rossitza
  • Assuntos: Anti-jamming ; Jamming strategies ; Stochastic games
  • É parte de: Mobile Networks and Management, p.230-243
  • Descrição: Due to their shared and open-access design, wireless networks are very vulnerable to many malicious attacks, ranging from passive eavesdropping to active interfering. In this paper, using stochastic game modeling we study anti-jamming strategies and their effectiveness against two types of interference attacks: (i) a random jammer, where the malicious user combines jamming modes with sleep modes; and (ii) a sophisticated jammer, where the malicious user uses the network for a two-fold purpose: law-obedient communication with other users and non-obedient jamming against a specific (primary) user. We focus our research on constructing the optimal maxmin anti-jamming transmission strategy and an optimal strategy against a selfish malicious user. Further, employing the suggested models we demonstrate that incorporating silent modes into the anti-jamming transmission protocol, where the primary user does not transmit signals for the purpose of helping an intrusion detection system identify the source of a jamming attack, can improve communication reliability. Further, since the equilibrium strategies are obtained explicitly, we identify several interesting properties that can guide designing such anti-jamming transmission protocols.
  • Editor: Cham: Springer International Publishing
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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