Chess Puzzle: Evolution of Cyber Deception Strategies for IoT Security Enhancement

Nowadays, the proliferation of open Internet of Things (IoT) devices has made IoT systems increasingly vulnerable to cyber attacks. It is of great practical significance to solve the security issues of IoT systems. Drawing inspiration from the concept of “Pawn Promotion” in chess, this article proposes a cyber deception defense system based on “Chess Puzzle” (CP-CDD), which enhances the security of IoT systems by continuously changing the real and fake attributes of services. First, we design a distributed election control device scheme to address the security concerns arising from centralized control in the IoT system. Second, we introduce an adaptive differential evolution cyber deception strategy (ADECDS) optimization method, aiming to derive effective cyber deception defense strategies for the CP-CDD system. Specifically, we design two key components of cyber deception strategy evolution: 1) service strategy coding and 2) fitness function, and describe the ADECDS algorithm. Finally, the security and effectiveness of the CP-CDD system is proven through attack and defense experiments conducted in a real-world environment.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-01-22
DOI
https://doi.org/10.1109/jiot.2025.3532782
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00

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Chess Puzzle: Evolution of Cyber Deception Strategies for IoT Security Enhancement

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Chess Puzzle: Evolution of Cyber Deception Strategies for IoT Security Enhancement

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article en

Abstract

Nowadays, the proliferation of open Internet of Things (IoT) devices has made IoT systems increasingly vulnerable to cyber attacks. It is of great practical significance to solve the security issues of IoT systems. Drawing inspiration from the concept of “Pawn Promotion” in chess, this article proposes a cyber deception defense system based on “Chess Puzzle” (CP-CDD), which enhances the security of IoT systems by continuously changing the real and fake attributes of services. First, we design a distributed election control device scheme to address the security concerns arising from centralized control in the IoT system. Second, we introduce an adaptive differential evolution cyber deception strategy (ADECDS) optimization method, aiming to derive effective cyber deception defense strategies for the CP-CDD system. Specifically, we design two key components of cyber deception strategy evolution: 1) service strategy coding and 2) fitness function, and describe the ADECDS algorithm. Finally, the security and effectiveness of the CP-CDD system is proven through attack and defense experiments conducted in a real-world environment.

IEEE Internet of Things JournalVol. 12(11)
University of Electronic Science and Technology of China (CN), China University of Petroleum, East China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Climate action
Openalex Percentile: Top 99%
Advanced Malware Detection Techniques
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