Game theoretic solution for an Unmanned Aerial Vehicle network host under DDoS attack

Mairaj, Aakif; Javaid, Ahmad Y.

doi:10.1016/j.comnet.2022.108962

Cited by 9 publications

(1 citation statement)

References 16 publications

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“…Hewett et al used a complete and perfect information dynamic game approach to analyze the information security of a power grid SCADA system [11]. Game theory has also been applied to defend against distributed denial of service (DDoS) attacks [12][13][14]. Information security often involves incomplete information games.…”

Section: Introductionmentioning

confidence: 99%

A Study on Enhancing the Information Security of Urban Traffic Control Systems Using Evolutionary Game Theory

Pan,

Wang,

Zhang

2023

Electronics

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In recent years, there has been significant development in intelligent technologies for urban traffic control, such as smart city and vehicle-to-everything (V2X) communication. These advancements aim to provide more efficient and convenient services to participants in urban transportation. As the urban traffic control (UTC) system integrates with various networks and physical infrastructure, the potential threats of malicious attacks and breaches pose significant risks to the safety of individuals and their properties. To address this issue, this academic paper focuses on studying the network structure of the UTC system. A signal security game model is constructed based on the concepts of evolutionary game theory (EGT), involving three parties: attackers, upper computers (UC), and traffic signal machines (TSM). The model aims to analyze the evolutionary stability of the strategies chosen by each party, and to explore the relationships between various factors and the strategy choices of the three parties. Furthermore, the stability of equilibrium points in the three-party game system is analyzed using the Liapunov method. The conditions in which UC and TSM, dependent on detection rates and defense costs, choose to abandon defense at pure-strategy equilibrium points were obtained. Finally, MATLAB is utilized for simulation analysis to validate the impact of attack costs, defense costs, and detection rates on the information security of UTC systems.

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