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An optimal transmission strategy in zero-sum matrix games under intelligent jamming attacks Arunthavanathan, S, Goratti, L, Maggi, L, de Pellegrini, F, Sithamparanathan, K and Reisenfeld, S 2019, 'An optimal transmission strategy in zero-sum matrix games under intelligent jamming attacks', Wireless Networks, vol. 25, no. 4, pp. 1777-1789. Document type: Journal Article Collection: Journal Articles Title An optimal transmission strategy in zero-sum matrix games under intelligent jamming attacks Author(s) Arunthavanathan, S Goratti, L Maggi, L de Pellegrini, F Sithamparanathan, K Reisenfeld, S Year 2019 Journal name Wireless Networks Volume number 25 Issue number 4 Start page 1777 End page 1789 Total pages 13 Publisher Springer Abstract Cognitive radio networks are more susceptible to jamming attacks due to the nature of unlicensed users accessing the spectrum by performing dynamic spectrum access. In such a context, a natural concern for operators is the resilience of the system. We model such a scenario as one of adversity in the system consisting of a single legitimate (LU) pair and malicious user (MU). The aim of the LU is to maximize throughput of transmissions, while the MU is to minimize the throughput of the LU completely. We present the achievable transmission rate of the LU pair under jamming attacks taking into account mainly on the transmission power per channel. Furthermore, we embed our utility function in a zero-sum matrix game and extend this by employing a fictitious play when both players learn each other's strategy over time, e.g., such an equilibrium becomes the system's global operating point. We further extend this to a reinforcement learning (RL) approach, where the LU is given the advantage of incorporating RL methods to maximize its throughput for fixed jamming strategies. Subject Wireless Communications Electrical and Electronic Engineering not elsewhere classified Keyword(s) Anti-jamming game Fictitious play Reinforcement learning Zero-sum games DOI - identifier 10.1007/s11276-017-1629-4 Copyright notice © 2017 Springer Science+Business Media, LLC, part of Springer Nature ISSN 1022-0038 Related Links Link Description https://dx.doi.org/10.1007/s11276-017-1629-4 Link to Published Version   Versions Version Filter Type Tue, 30 Apr 2019, 14:54:51 EST Filtered Full Citation counts: Cited 0 times in Scopus Article Altmetric details: Access Statistics: 9 Abstract Views  -  Detailed Statistics Created: Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator