关键基础设施安全的人工智能:概念、挑战和未来方向

Muna Al-Hawawreh, Zubair A. Baig, S. Zeadally
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引用次数: 0

摘要

人工智能(AI)在安全领域发挥着越来越重要的作用,特别是考虑到对手不断演变的战术和技术。对于关键基础设施(CI)来说,在异构 CI 设备连接日益紧密、攻击载体不断演变的世界中,对基于人工智能的安全解决方案的需求至关重要。我们研究了人工智能如何提供更好的 CI 安全和预防网络攻击。我们对目前用于入侵/攻击检测、隐私保护、信任管理和 CI 身份验证的流行人工智能模型进行了广泛调查。我们还提出了使用案例,描述如何利用人工智能实现工业控制系统的零信任,并提供网络弹性。在研究的基础上,我们还阐述了未来在采用可靠、可信的人工智能确保 CI 安全方面必须应对的一些突出挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI for Critical Infrastructure Security: Concepts, Challenges, and Future Directions
Artificial intelligence (AI) plays an increasingly important role in security, particularly in view of constantly evolving adversarial tactics and techniques. For Critical Infrastructures (CIs), the demand for AI-based security solutions is essential in an increasingly connected world of heterogeneous CI devices and through evolution of attack vectors. We study how AI could provide better CI security and prevent cyber-attacks. An extensive survey of popular AI models currently adopted for intrusion/attack detection, privacy, trust management, and authentication for CIs is presented. We also propose use cases to describe how AI is used to enable zero trust in industrial control systems and to provide cyber resilience. Based on the study, we also elaborate upon some prominent challenges which must be addressed in the future for adopting reliable and trusted AI for CI security.
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