Deployment of Dynamic Defense Strategies for Multiple Devices in the Industrial Internet Based on Zero Trust

This paper proposes an algorithm for deploying dynamic defense strategies on multiple devices in the industrial Internet based on zero trust, aiming at coping with complex and ever-changing security challenges. Malicious devices are identified through a submodular optimization algorithm, and defense strategies are dynamically allocated using mixed integer programming to ensure efficient protection of the system. This paper describes in detail the malicious devices feature analysis, the reverse strategy deviation algorithm, and the defense strategy allocation model, and verifies the effectiveness of the proposed algorithm through simulation experiments. The results show that the algorithm can maximize the security of the system under limited resources, respond to changes in device priorities and task requirements in real-time, and provide a new solution for security protection in the industrial Internet environment.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864591
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Deployment of Dynamic Defense Strategies for Multiple Devices in the Industrial Internet Based on Zero Trust

Tianyu Gong, Yun Li, Zhe Wang, Mo Wang et al.
Network Security and Intrusion Detection
article

Deployment of Dynamic Defense Strategies for Multiple Devices in the Industrial Internet Based on Zero Trust

Tianyu Gong, Yun Li, Zhe Wang, Mo Wang, Jianlei Gao
article en

Abstract

This paper proposes an algorithm for deploying dynamic defense strategies on multiple devices in the industrial Internet based on zero trust, aiming at coping with complex and ever-changing security challenges. Malicious devices are identified through a submodular optimization algorithm, and defense strategies are dynamically allocated using mixed integer programming to ensure efficient protection of the system. This paper describes in detail the malicious devices feature analysis, the reverse strategy deviation algorithm, and the defense strategy allocation model, and verifies the effectiveness of the proposed algorithm through simulation experiments. The results show that the algorithm can maximize the security of the system under limited resources, respond to changes in device priorities and task requirements in real-time, and provide a new solution for security protection in the industrial Internet environment.

National Earthquake Response Support Service (CN), China Industrial Control Systems Cyber Emergency Response Team
Openalex Percentile: Top 68%
Network Security and Intrusion Detection
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Deployment of Dynamic Defense Strategies for Multiple Devices in the Industrial Internet Based on Zero Trust — Tianyu Gong, Yun Li, et al. · (2024) | TGRS Research Map | TGRS