GenAI可提升物联网安全，但面临挑战，本文梳理了其应用与研究空白。
Generative AI for Internet of Things Security: Challenges and Opportunities
- 分析GenAI在物联网安全中的最新应用与技术进展
- 通过三个案例揭示GenAI提升安全防护的潜力与局限
- 识别关键研究缺口，为未来方向提供参考
随着生成式人工智能（GenAI）在各领域的广泛应用，其在物联网（IoT）安全中的融合正迅速发展。本文系统梳理了当前GenAI在IoT安全领域的前沿研究与实际应用，旨在映射其在该领域的实施现状，探索其强化安全措施的潜力。通过整合、综合与分析最新应用于IoT的GenAI技术进展，本研究不仅提出了新见解，也为未来研究奠定基础。文章阐述了物联网安全中的主要挑战，评估了GenAI在应对这些问题上的有效性，并借助MITRE Mitigations框架识别出显著的研究空白。结合三个案例研究，全面呈现了GenAI在物联网安全中的进展与未来前景。本研究为通过创新应用GenAI提升物联网安全提供了基础资源，推动了物联网安全与技术融合的广泛讨论。
原文摘要 · Abstract (English)
As Generative AI (GenAI) continues to gain prominence and utility across various sectors, their integration into the realm of Internet of Things (IoT) security evolves rapidly. This work delves into an examination of the state-of-the-art literature and practical applications on how GenAI could improve and be applied in the security landscape of IoT. Our investigation aims to map the current state of GenAI implementation within IoT security, exploring their potential to fortify security measures further. Through the compilation, synthesis, and analysis of the latest advancements in GenAI technologies applied to IoT, this paper not only introduces fresh insights into the field, but also lays the groundwork for future research directions. It explains the prevailing challenges within IoT security, discusses the effectiveness of GenAI in addressing these issues, and identifies significant research gaps through MITRE Mitigations. Accompanied with three case studies, we provide a comprehensive overview of the progress and future prospects of GenAI applications in IoT security. This study serves as a foundational resource to improve IoT security through the innovative application of GenAI, thus contributing to the broader discourse on IoT security and technology integration.
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