Game Theoretical Modelling of Network/Cybersecurity

Iqbal, Azhar; Gunn, Lachlan J.; Guo, Mingyuo; Babar, Muhammad Ali; Abbott, Derek

doi:10.1109/access.2019.2948356

Cited by 14 publications

(21 citation statements)

References 59 publications

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“…where stakeholders face vulnerable situation (risk/uncertain situation) leading to a dependence or reliance on management for security [50,51]. Shareholders must trust managers, employers must trust employees, buyers must trust sellers, the public must trust business, and the government must trust business.…”

Section: Definition Of Trustmentioning

confidence: 99%

Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations

Rodgers

Attah‐Boakye

Adams

2022

IEEE Trans. Eng. Manage.

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Cybercrime continues to cause increasing threat to business processes, eroding stakeholders' trust in internet technologies. In this research paper, we explore how six dominant algorithmic trust positions facilitate cognitive processing, which, in turn, can influence an organisation's productivity and align its values and support structures for combating cybercrimes. This conceptual paper uses a cognitive perspective described as a Throughput Model. This modeling perspective captures several dominant algorithmic trust positions for organisations, providing a new and powerful approach which seeks to enhance our understanding of the cognitive representation of decision-making processes. These trust positions are (1) rational-based trust, (2) rule-based trust, (3) category-based trust, (4) third-party based trust, (5) role-based trust, and (6) knowledge-based trust. Finally, we provide conclusions and implications for future research.

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Section: Definition Of Trustmentioning

confidence: 99%

Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations

Rodgers

Attah‐Boakye

Adams

2022

IEEE Trans. Eng. Manage.

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“…In general, although game theory is based on optimization, it is the appropriate tool when the optimal decision of one entity (player) depends on the decision of the other player. The rules for predicting how a game will be played defines the solution concepts in terms of which the game is understood [ 31 ].…”

Section: One-shot Gamementioning

confidence: 99%

“…In conclusion, in the considered framework, a defender’s strategy belongs to the NE if it is is the best reply to the attacker’s strategy, and vice versa. In a NE, “unilateral deviations”, which refer to the case that one player changes its own decision while the others stick to their current choices, do not benefit any of the players [ 31 ].…”

Section: One-shot Gamementioning

confidence: 99%

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Game Theoretic Honeypot Deployment in Smart Grid

Diamantoulakis

Dalamagkas

Radoglou-Grammatikis

et al. 2020

Sensors

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The smart grid provides advanced functionalities, including real-time monitoring, dynamic energy management, advanced pricing mechanisms, and self-healing, by enabling the two-way flow of power and data, as well as the use of Internet of Things (IoT) technologies and devices. However, converting the traditional power grids to smart grids poses severe security challenges and makes their components and services prone to cyber attacks. To this end, advanced techniques are required to mitigate the impact of the potential attacks. In this paper, we investigate the use of honeypots, which are considered to mimic the common services of the smart grid and are able to detect unauthorized accesses, collect evidence, and help hide the real devices. More specifically, the interaction of an attacker and a defender is considered, who both optimize the number of attacks and the defending system configuration, i.e., the number of real devices and honeypots, respectively, with the aim to maximize their individual payoffs. To solve this problem, game theoretic tools are used, considering an one-shot game and a repeated game with uncertainty about the payoff of the attacker, where the Nash Equilibrium (NE) and the Bayesian NE are derived, respectively. Finally, simulation results are provided, which illustrate the effectiveness of the proposed framework.

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“…Such updates are executed regularly, usually once a day or once a week, giving rise to the so-called Internet security ''cat and mouse game''. Actually, as soon as an anti-virus software update is released, by using dedicated bot update modules [24]- [27] botmasters change the signature code of the virus and its behavior. Novel fully undetectable versions of the virus are produced and the virus ultimately evolves through multiple generations [28]- [30].…”

Section: Introductionmentioning

confidence: 99%

Beyond Herd Immunity Against Strategic Attackers

et al. 2020

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Herd immunity, one of the most fundamental concepts in network epidemics, occurs when a large fraction of the population of devices is immune against a virus or malware. The few individuals who have not taken countermeasures against the threat are assumed to have very low chances of infection, as they are indirectly protected by the rest of the devices in the network. Although very fundamental, herd immunity does not account for strategic attackers scanning the network for vulnerable nodes. In face of such attackers, nodes who linger vulnerable in the network become easy targets, compromising cybersecurity. In this paper, we propose an analytical model which allows us to capture the impact of countermeasures against attackers when both endogenous as well as exogenous infections coexist. Using the proposed model, we show that a diverse set of potential attacks produces non-trivial equilibria, some of which go counter to herd immunity; e.g., our model suggests that nodes should adopt countermeasures even when the remainder of the nodes has already decided to do so. INDEX TERMS Cybersecurity, denial-of-service attacks, network epidemics, network security.

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Game Theoretical Modelling of Network/Cybersecurity

Cited by 14 publications

References 59 publications

Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations

Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations

Game Theoretic Honeypot Deployment in Smart Grid

Beyond Herd Immunity Against Strategic Attackers

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