Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading

Bai, Yang; Chen, Lixing; Song, Linqi; Xu, Jie

doi:10.1145/3338468.3356772

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…In Ref. [111], we studied the Byzantine attack problem Fig. 7 F1-score of federated XGBoost framework for anomaly detection in Ref.…”

Section: Privacy and Security For Iovmentioning

confidence: 99%

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

Luo

et al. 2020

Intell. and Converged Netw.

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Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure, wireless communication networks, and central cloud platforms. Wireless recommendations play an important role in the IoV network, for example, recommending appropriate routes, recommending driving strategies, and recommending content. In this paper, we review some of the key techniques in recommendations and discuss what are the opportunities and challenges to deploy these wireless recommendations in the IoV.

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“…In Ref. [111], we studied the Byzantine attack problem Fig. 7 F1-score of federated XGBoost framework for anomaly detection in Ref.…”

Section: Privacy and Security For Iovmentioning

confidence: 99%

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

Luo

et al. 2020

Intell. and Converged Netw.

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“…Zhang and Reniers 43 propose a Bayesian Stackelberg game between a defender and an adversary for improving chemical plant protection from threats of suicide bombers and environmental activists, considering multiple types of adversaries. Bai et al 44 apply Bayesian Stackelberg games to mobile edge computing to deal with potential security and privacy issues of mobile users. Jiang and Liu 45 build a Bayesian Stackelberg game model for preventing an interdiction on water supply networks.…”

Section: Related Workmentioning

confidence: 99%

A decision support framework for security resource allocation under ambiguity

Liu

McAreavey

et al. 2020

Int J Intell Syst

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There has been increasing interest in using Stackelberg game (known as a security game) to allocate limited security resources against different attacker types with a specific probability distribution. However, real problems of this kind often face ambiguous information, such as imprecise, unreliable and absent payoffs, and ambiguous assignments of these payoffs. To this end, based on decision theory and the Dempster-Shafer theory of evidence, this paper proposes a novel framework that can handle these common types of ambiguity. More specifically, this paper deploys the underlying principles of existing rules from decision theory, as a way to characterise different attitudes to ambiguity, during the transformation of ambiguous payoffs into point-valued payoffs. Hence, our framework holds some good properties: (i) it subsumes traditional security games without ambiguous payoffs, (ii) a uniform margin of error will not affect the results and (iii) the influence

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A survey of privacy-preserving offloading methods in mobile-edge computing

Jiang

et al. 2022

Journal of Network and Computer Applications

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Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading

Cited by 4 publications

References 20 publications

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

A decision support framework for security resource allocation under ambiguity

A survey of privacy-preserving offloading methods in mobile-edge computing

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