Cross‐layer security design for encrypted CPS based on modified security signalling game

Shen, Jiajun; Dai, Feng

doi:10.1002/asjc.1998

Cited by 4 publications

(4 citation statements)

References 41 publications

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“…While in other models such as, 18,26 the user has complete information. Several studies, such as, [36][37][38] have used signaling games in computer network security scenarios.…”

Section: Related Workmentioning

confidence: 99%

A privacy‐preserving mechanism for social mobile crowdsensing using game theory

Esmaeilyfard

Esmaili

2022

Trans Emerging Tel Tech

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Smartphones and mobile networks have created a new paradigm called mobile crowdsensing for data gathering and processing about a large-scale phenomenon. This paradigm's development allows untrustworthy people to gather large amounts of information over time from the reported events. In this regard, mobile crowdsensing increases the possibility of violating users' privacy. Recently, social communication has added potential capabilities to mobile crowdsourcing environments. Based on these social communications, this article presents an analysis of user's interactions for privacy-preserving using a signaling game with a dynamic approach and incomplete information. First, the analysis identifies the pure-strategy profiles and mixed-strategy profiles and the user's best strategy for accepting access requests in a single time slot. This analysis is then extended into a dynamic multistage game. In this analysis, users' beliefs about the violation of their privacy are analyzed and updated at every stage. As a result, the best response from users will be determined. Following this analysis, a mechanism is presented for privacy-preserving in social mobile crowdsensing. The experimental results have also indicated the success of the proposed method in dealing with different types of user interaction.

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“…While in other models such as, 18,26 the user has complete information. Several studies, such as, [36][37][38] have used signaling games in computer network security scenarios.…”

Section: Related Workmentioning

confidence: 99%

A privacy‐preserving mechanism for social mobile crowdsensing using game theory

Esmaeilyfard

Esmaili

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…Furthermore, a sufficient condition in view of linear matrix inequalities is derived for stability of the CPS under Dos attack. In Shen and Feng [19], a security signaling game (MSSG) model is proposed for capturing attack-defense interactions and analyzing the cross-layer security design algorithm of encrypted CPS. Based on the integrity of the system, some specific attack models, such as covert attack and zero-dynamics attack, are investigated in Ahmadloo and Salmasi [20].…”

Section: Introductionmentioning

confidence: 99%

Deception attack monitoring in vulnerable hydroelectric generator system

Sari

Sid

2021

Asian Journal of Control

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This article deals with unknown deception attacks detection of hydroelectric generator. Such cyber attacks are switching disturbances that affect the input information transmitted from the power system stabilizer to the plant through a constrained communication network. The generator dynamics can be modeled as an augmented state model, whereas the unknown input reconstruction is obtained from a modified Kalman filter recursions under communication constraints. The obtained design ensures the minimization of disturbances with accurate cyberattack monitoring.

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“…Thus, network security has become a hot topic in the field of network control, attracting widespread attention [24–26]. In recent years, some progress has been made in the research on security issues [27–31]. In [27], the design of the robust filter against randomly occurring deception attacks has been investigated.…”

Section: Introductionmentioning

confidence: 99%

“…A security criteria and an effective protection scheme are proposed for state estimation on stochastic systems under false data injection attack in [29]. To capture attack‐defense interactions, a modified security signaling game model has been proposed for analyzing the cross‐layer security of encrypted cyber‐physical system in [30]. From the attacker's point of view, in [31], an optimal attack strategy has been presented by solving a convex optimization problem.…”

Section: Introductionmentioning

confidence: 99%

Unscented Kalman filtering for nonlinear systems with sensor saturation and randomly occurring false data injection attacks

Wang

Li³

et al. 2019

Asian Journal of Control

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In this paper, an unscented Kalman filtering problem is studied for a nonlinear system with sensor saturation and randomly occurring false data injection attacks. A random variable obeying the Bernoulli distribution is employed to characterize the phenomena of the randomly occurring false data injection attacks. The aim of this paper is to design a modified unscented Kalman filter by minimizing an upper bound of filtering error covariance. Furthermore, a sufficient condition is provided to ensure an exponentially bounded filtering error in the mean square sense. Numerical simulations are presented to illustrate the validity of the proposed filter.

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Cross‐layer security design for encrypted CPS based on modified security signalling game

Cited by 4 publications

References 41 publications

A privacy‐preserving mechanism for social mobile crowdsensing using game theory

A privacy‐preserving mechanism for social mobile crowdsensing using game theory

Deception attack monitoring in vulnerable hydroelectric generator system

Unscented Kalman filtering for nonlinear systems with sensor saturation and randomly occurring false data injection attacks

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