Multi-Player Evolutionary Game of Network Attack and Defense Based on System Dynamics

Yang, Pengxi; Gao, Fei; Zhang, Hua

doi:10.3390/math9233014

Cited by 9 publications

(3 citation statements)

References 42 publications

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“…Deception-based defenses are potent weapons that have been proven to work in various domains. Their efficacy is based on the fact that they are programmed to exploit key biases to appear realistic but misleading substitutes to the hidden reality [ 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 ]. As a result, one will require a thorough understanding of both offensive and defensive trickery to implement a perfect Deception strategy.…”

Section: Discussionmentioning

confidence: 99%

Leveraging Computational Intelligence Techniques for Defensive Deception: A Review, Recent Advances, Open Problems and Future Directions

Mohan

Dixit

Gyaneshwar

et al. 2022

Sensors

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With information systems worldwide being attacked daily, analogies from traditional warfare are apt, and deception tactics have historically proven effective as both a strategy and a technique for Defense. Defensive Deception includes thinking like an attacker and determining the best strategy to counter common attack strategies. Defensive Deception tactics are beneficial at introducing uncertainty for adversaries, increasing their learning costs, and, as a result, lowering the likelihood of successful attacks. In cybersecurity, honeypots and honeytokens and camouflaging and moving target defense commonly employ Defensive Deception tactics. For a variety of purposes, deceptive and anti-deceptive technologies have been created. However, there is a critical need for a broad, comprehensive and quantitative framework that can help us deploy advanced deception technologies. Computational intelligence provides an appropriate set of tools for creating advanced deception frameworks. Computational intelligence comprises two significant families of artificial intelligence technologies: deep learning and machine learning. These strategies can be used in various situations in Defensive Deception technologies. This survey focuses on Defensive Deception tactics deployed using the help of deep learning and machine learning algorithms. Prior work has yielded insights, lessons, and limitations presented in this study. It culminates with a discussion about future directions, which helps address the important gaps in present Defensive Deception research.

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Section: Discussionmentioning

confidence: 99%

Leveraging Computational Intelligence Techniques for Defensive Deception: A Review, Recent Advances, Open Problems and Future Directions

Mohan

Dixit

Gyaneshwar

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Equilibrium and Stability: Systems may have equilibrium points where variables remain constant over time. Stability refers to the system's tendency to return to this equilibrium after being disturbed [59]. Feedback and Control: Feedback mechanisms within dynamic systems can influence the system's behavior.…”

Section: Understanding Dynamic System Variationsmentioning

confidence: 99%

Safeguarding Stability: Strategies for Addressing Dynamic System Variations in Power Grid Cybersecurity

Guzman Erick,

Fatehi Navid

2023

EPHIJSE

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The power grid stands as a critical infrastructure supporting modern society, yet it remains susceptible to cyber threatsthat could compromise its stability and functionality. Addressing the dynamic variations and evolving challenges posedby cyber threats requires robust strategies in cybersecurity. This paper investigates methods to safeguard the stability ofthe power grid against cyber intrusions and system variations. This study delves into the multifaceted nature of cyberthreats targeting the power grid and analyzes the dynamic variations within the system that could be exploited bymalicious actors. This paper presents a comprehensive framework encompassing proactive and reactive cybersecuritymeasures. Reactive measures include incident response plans, rapid recovery protocols, and the integration of machinelearning and artificial intelligence for real-time threat detection and mitigation. Moreover, considering the interconnectednature of the power grid, this study explores collaborative approaches among stakeholders, such as utility companies,government bodies, regulatory authorities, and cybersecurity experts, to foster information sharing, best practices, andstandardized protocols. Ultimately, this paper serves as a guide for policymakers, grid operators, and cybersecurityprofessionals to develop robust strategies that safeguard the stability of the power grid in the face of evolving cyberthreats and system dynamics. By implementing a holistic cybersecurity approach, the aim is to ensure resilience,reliability, and continuity in the delivery of electricity to society

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“…Finding equilibriums is one of the most important problems in game theory. Because the participants are capable of learning, their strategies evolve towards higher revenues [9,10]. Updating strategies in multiple directions makes it difficult to capture the profile dynamics.…”

Section: Introductionmentioning

confidence: 99%

On Robust Stability and Stabilization of Networked Evolutionary Games with Time Delays

Guo

Zheng

2022

Mathematics

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This paper investigates the robust stability and stabilization of networked evolutionary games (NEGs) with time delays. First, a mathematical model is presented to describe the dynamics of NEG with time-varying delays and disturbances. Second, an auxiliary system is constructed using the semi-tensor product of matrices and a dimension augmenting technique. Then, a verification condition of robust stability is derived. Third, in order to stabilize NEG to the Nash equilibrium, the robust stability problem is transformed into the robust stabilization problem. Moreover, an algorithm is proposed to design the stabilization controller. Finally, the validity of the results is verified by an example.

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Multi-Player Evolutionary Game of Network Attack and Defense Based on System Dynamics

Cited by 9 publications

References 42 publications

Leveraging Computational Intelligence Techniques for Defensive Deception: A Review, Recent Advances, Open Problems and Future Directions

Leveraging Computational Intelligence Techniques for Defensive Deception: A Review, Recent Advances, Open Problems and Future Directions

Safeguarding Stability: Strategies for Addressing Dynamic System Variations in Power Grid Cybersecurity

On Robust Stability and Stabilization of Networked Evolutionary Games with Time Delays

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