A Game With Randomly Distributed Eavesdroppers in Wireless Ad Hoc Networks: A Secrecy EE Perspective

Kwon, Younggap; Wang, Xudong; Hwang, Taewon

doi:10.1109/tvt.2017.2731983

Cited by 10 publications

(5 citation statements)

References 41 publications

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“…In [271], the advantages of massive MIMO relaying are utilized to improve the secure EE which is specially defined as the ratio of the secrecy outage capacity to the total power consumption. Moreover, the energy-efficient secure communication over a large-scale wireless network is studied by the combined application of game theory and stochastic geometry in [272]. An alternating optimization scheme is proposed therein for maximizing the secure EE of the legitimate transmitters by controlling the node activation probability, confidential message rate, redundancy rate, and the number of active antennas.…”

Section: ) Maximization Of Secure Eementioning

confidence: 99%

A Survey of Optimization Approaches for Wireless Physical Layer Security

Wang

Bai

Zhao

et al. 2019

IEEE Commun. Surv. Tutorials

183

102

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Due to the malicious attacks in wireless networks, physical layer security has attracted increasing concerns from both academia and industry. The research on physical layer security mainly focuses either on the secrecy capacity/achievable secrecy rate/capacity-equivocation region from the perspective of information theory, or on the security designs from the viewpoints of optimization and signal processing. Because of its importance in security designs, the latter research direction is surveyed in a comprehensive way in this paper. The survey begins with typical wiretap channel models to cover common scenarios and systems. The topics on physical-layer security designs are then summarized from resource allocation, beamforming/precoding, and antenna/node selection and cooperation. Based on the aforementioned schemes, the performance metrics and fundamental optimization problems are discussed, which are generally adopted in security designs. Thereafter, the state of the art of optimization approaches on each research topic of physical layer security is reviewed from four categories of optimization problems, such as secrecy rate maximization, secrecy outrage probability minimization, power consumption minimization, and secure energy efficiency maximization. Furthermore, the impacts of channel state information on optimization and design are discussed. Finally, the survey concludes with the observations on potential future directions and open challenges.

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Section: ) Maximization Of Secure Eementioning

confidence: 99%

A Survey of Optimization Approaches for Wireless Physical Layer Security

Wang

Bai

Zhao

et al. 2019

IEEE Commun. Surv. Tutorials

183

102

View full text Add to dashboard Cite

show abstract

“…In addition, Subba et al proposed an intrusion detection scheme based on the Bayesian game model for wireless ad hoc networks. More recent studies on game theoretic framework of defending wireless ad hoc networks can be found in [44–46] etc.…”

Section: Related Workmentioning

confidence: 99%

Defending pollution attacks in network coding enabled wireless ad hoc networks: a game‐theoretic framework

Liu

Huang

Yao³

et al. 2020

IET Communications

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“…In [16], an evolutionary game is formulated for a wireless sensor network in which each sensor chooses the transmission power that maximizes the secrecy rate while minimizing the energy consumed. More recently, in [17], the authors investigated the security of a large scale wireless network containing both legitimate transmitters and eavesdroppers. The legitimate transmitters seek to find the optimal probability of node activation that maximizes their secrecy energy efficiency whereas the eavesdroppers find the probability of node activation that minimizes their energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Centralized approaches are not favorable for IoBT as they incur significant communication and computation overhead. Further, existing approaches either maximize the secrecy capacity such as in [16] and [17] or minimize data redundancy such as in [10,11,12]. Thus, there is no existing scheme that minimizes data redundancy while maximizing the secrecy capacity.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A graphical Bayesian game for secure sensor activation in internet of battlefield things

Abuzainab

Saad

2019

Ad Hoc Networks

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In this paper, the problem of secure sensor activation is studied for an Internet of Battlefield Things (IoBT) system in which an attacker compromises a set of the IoBT sensors for the purpose of eavesdropping and acquiring information about the battlefield. In the considered model, each IoBT sensor seeks to decide whether to transmit or not based on its utility. The utility of each sensor is expressed in terms of the redundancy of the data transmitted, the secrecy capacity and the energy consumed. Due to the limited communication range of the IoBT sensors and their uncertainty about the location of the eavesdroppers, the problem is formulated as a graphical Bayesian game in which the IoBT sensors are the players. Then, the utilities of the IoBT sensors are modified to take into account the effect of activating each sensor on the utilities of its neighbors, in order to achieve better system performance. The modified game is shown to be a Bayesian potential game, and a best response algorithm that is guaranteed to find a Nash equilibrium of the game is proposed. Simulation resultsshow the tradeoff between the information transmitted by the IoBT sensors and the desired secrecy level. Simulation results also demonstrate the effectiveness of the proposed approach in reducing the energy consumed compared to the baseline in which all the IoBT sensors are activated. The reduction in energy consumption reaches up to 98% compared to the baseline, when the number of $

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A Game With Randomly Distributed Eavesdroppers in Wireless Ad Hoc Networks: A Secrecy EE Perspective

Cited by 10 publications

References 41 publications

A Survey of Optimization Approaches for Wireless Physical Layer Security

A Survey of Optimization Approaches for Wireless Physical Layer Security

Defending pollution attacks in network coding enabled wireless ad hoc networks: a game‐theoretic framework

A graphical Bayesian game for secure sensor activation in internet of battlefield things

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