Jamming in wireless networks: The case of several jammers

Altman, Eitan; Avrachenkov, Konstantin; Garnaev, Andrey

doi:10.1109/gamenets.2009.5137448

Cited by 52 publications

(25 citation statements)

References 6 publications

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“…The application of game theory to wireless networks is a relatively new area. In [Altman et al 2009], the authors consider the case of several jammers in wireless networks. The quality of communication is measured by the total signal to interference-plus-noise ratio (SINR) given by…”

Section: Jammingmentioning

confidence: 99%

Game theory meets network security and privacy

et al. 2013

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This survey provides a structured and comprehensive overview of research on security and privacy in computer and communication networks that uses game-theoretic approaches. We present a selected set of works to highlight the application of game theory in addressing different forms of security and privacy problems in computer networks and mobile applications. We organize the presented works in six main categories: security of the physical and MAC layers, security of self-organizing networks, intrusion detection systems, anonymity and privacy, economics of network security, and cryptography. In each category, we identify security problems, players, and game models. We summarize the main results of selected works, such as equilibrium analysis and security mechanism designs. In addition, we provide a discussion on advantages, drawbacks, and the future direction of using game theory in this field. In this survey, our goal is to instill in the reader an enhanced understanding of different research approaches in applying game-theoretic methods to network security. This survey can also help researchers from various fields develop game-theoretic solutions to current and emerging security problems in computer networking.

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Section: Jammingmentioning

confidence: 99%

Game theory meets network security and privacy

et al. 2013

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“…A goal for our future investigation, of course, is to investigate the non-linearized detection probability. Also, since our investigation showed that the optimal scanning essentially depends on the Invader's characteristics, we intend to extend our model to the case of incomplete information on the characteristics as well as to multi-scanner [5], [7] or multi-invader systems [8].…”

Section: Discussionmentioning

confidence: 99%

Optimizing scanning strategies: Selecting scanning bandwidth in adversarial RF environments

Garnaev

Trappe

Kung

2013

8th International Conference on Cognitive Radio Oriented Wireless Networks

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In this paper we investigate the problem of designing a spectrum scanning strategy to detect an intelligent Invader who wants to utilize spectrum undetected for his/her unapproved purposes. To deal with this problem we apply game-theoretical tools. We model the situation as a game between a Scanner and an Invader where the Invader faces a dilemma: the more bandwidth the Invader attempts to use leads to a larger payoff if he is not detected, but at the same time also increases the probability of being detected and thus fined. Similarly, the Scanner faces a dilemma: the wider the bandwidth scanned, the higher the probability of detecting the Invader, but at the expense of increasing the cost of building the scanning system. The equilibrium strategies are found explicitly and reveal interesting properties. In particular, we have found a discontinuous dependence of the equilibrium strategies on the network parameters, fine and the type of the Invader's award. This discontinuity on fine means that the network provider has to take into account a human factor since some threshold values of fine could be very sensible for the Invader, while in other situations simply increasing the fine has minimal deterrence impact. Also we show how different reward types for the Invader (e.g. motivated by using different type of application, say, video-streaming or downloading files) can be incorporated into scanning strategy to increase its efficiency.

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“…There are some channel access games which take security issues into consideration. However, most of these game-theoretic models analyze the interactions between pairs of jammers and communicating nodes or between pairs of jammers and detecting nodes when an intrusion detection system (IDS) is deployed [69]- [70]. A few researches such as those in [71]- [73] formulate games between jammers and communicating nodes in order to analyze equilibrium points as defense strategies against jamming attacks.…”

Section: B Open Research Issuesmentioning

confidence: 99%

Game Theoretic Approaches for Multiple Access in Wireless Networks: A Survey

Akkarajitsakul

Hossain

Niyato

et al. 2011

IEEE Commun. Surv. Tutorials

217

118

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Multiple access methods in a wireless network allow multiple nodes to share a set of available channels for data transmission. The nodes can either compete or cooperate with each other to access the channel(s) so that either an individual or a group objective can be achieved. Game theory, which is a mathematical tool developed to understand the interaction among rational entities, can be applied to model and to analyze individual or group behaviour of nodes for multiple access in wireless networks. Game theory also enables us to model the selfish/malicious behaviour of nodes, and subsequently design the punishment or defense mechanisms for robust multiple access in wireless networks. In addition, game models can provide distributed solutions to the multiple access problems, which are based on solid theoretical foundations. In this survey, we provide a comprehensive review of the game models (e.g., noncooperative/cooperative, static/dynamic, and complete/incomplete information) developed for different multiple access schemes (i.e., contention-free and contention-based random channel access) in wireless networks. We consider time-division multiple access (TDMA), frequency-division multiple access (FDMA), and codedivision multiple access (CDMA), ALOHA, and carrier sense multiple access (CSMA)-based wireless networks. In addition, game models for multiple access in dynamic spectrum accessbased cognitive radio networks are reviewed. The major findings from the game models used for these different access schemes are highlighted. To this end, several of the key open research directions are outlined.Index Terms-Wireless networks, game theory, multiple access, random access game, power and rate control game.

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Jamming in wireless networks: The case of several jammers

Cited by 52 publications

References 6 publications

Game theory meets network security and privacy

Game theory meets network security and privacy

Optimizing scanning strategies: Selecting scanning bandwidth in adversarial RF environments

Game Theoretic Approaches for Multiple Access in Wireless Networks: A Survey

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