MAC games for distributed wireless network security with incomplete information of selfish and malicious user types

Sagduyu, Yalin E.; Berry, Randall A.; Ephremides, Anthony

doi:10.1109/gamenets.2009.5137394

Cited by 66 publications

(39 citation statements)

References 20 publications

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“…In [Sagduyu et al 2009], a game-theoretic framework with incomplete information is developed for denial of service attacks at the MAC layer of wireless networks. The wireless nodes in the network can be of two types, either selfish or malicious, and have incomplete information regarding the types of other nodes.…”

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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“…Each node choose its channel access probabilities independently with xed transmission power Nash equilibrium [71] Strategy: Transmission Power.…”

Section: Discussionmentioning

confidence: 99%

Game theoretic approach to medium access control in wireless networks

Najafabadi

Constantinou

2013

2013 IEEE Wireless Communications and Networking Conference (WCNC)

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Wireless networking is fast becoming the primary method for people to connect to the Internet and with each other. The available wireless spectrum is increasingly congested, with users demanding higher performance and reliability from their wireless connections. This thesis proposes a game-theoretic random access model, compliant with the IEEE 802.11 standard, that can be integrated into the distributed coordination function (DCF). The objective is to design a game theoretic model that potentially optimizes throughput and fairness in each node independently and, therefore, minimise channel access delay. This dissertation presents a game-theoretic MAC layer implementation for single-cell networks and centralised DCF in the presence of hidden terminals to show how game theory can be applied to improve wireless performance. A utility function is proposed, such that it can decouple the protocol's dynamic adaptation to channel load from collision detection. It is demonstrated that the proposed model can reach a Nash equilibrium that results in a relatively stable contention window, provided that a node adapts its behaviour to the idle rate of the broadcast channel, coupled with observation of its own transmission activity.This dissertation shows that the proposed game-theoretic model is capable of achieving much higher throughput than the standard IEEE 802.11 DCF with better short-time fairness and signicant improvements in the channel access delay.To my parents and my sister

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“…In [9], Bayesian jamming games are considered and the Nash Equilibrium (NE) points for different jamming scenarios are obtained. Unlike the work in [9], we consider pricing mechanisms and auctions [10] in the presence of malicious users and also modify them to counter malicious behavior.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike the work in [9], we consider pricing mechanisms and auctions [10] in the presence of malicious users and also modify them to counter malicious behavior. Our model captures the fact that, in addition to the resource allocation, the malicious users affect the regular users through the prices charged to the regular users.…”

Section: Introductionmentioning

confidence: 99%

Bayesian mechanisms for wireless network security

Chorppath

Alpcan

Boche

2014

2014 IEEE International Conference on Communications (ICC)

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Strategic users in a wireless network cannot be assumed to follow the network algorithms blindly. Moreover, some of these users could be controlled by powerful Botnets, which aim to use their knowledge about network algorithms to maliciously gain more resources and also to create interference to other users. We consider a scenario; in which a mechanism designer and legitimate users together, in a wireless network, gather probabilistic information about the presence of malicious users and modify their actions accordingly. The probabilistic information is gathered by observing the network over a long time period. We study Bayesian mechanisms, both pricing schemes and auctions, and obtain the Nash Equilibrium (NE) points of the underlying Bayesian games. The NE points provide conditions indicating when it is better for users to to hide or reveal their nature(types). The prices and allocations in the mechanisms are later modified using the Bayesian information about the type of the users. The numerical studies show the NE points and illustrate the results.

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MAC games for distributed wireless network security with incomplete information of selfish and malicious user types

Cited by 66 publications

References 20 publications

Game theory meets network security and privacy

Game theory meets network security and privacy

Game theoretic approach to medium access control in wireless networks

Bayesian mechanisms for wireless network security

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