Dong Chen, Qiu Decheng, Li Bolun, Yang Yang, Lyu Chenxi, Cheng Dong, Zhang Hao, Chen Zhenyi
College of Computer and Data Science, Fuzhou University, Xueyuan Rd., Fuzhou 350108, China.
Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Xueyuan Rd., Fuzhou 350116, China.
Sensors (Basel). 2025 Aug 7;25(15):4880. doi: 10.3390/s25154880.
Integrated circuits are the core of a cyber-physical system, where tens of billions of components are integrated into a tiny silicon chip to conduct complex functions. To maximize utilities, the design and manufacturing life cycle of integrated circuits rely on numerous untrustworthy third parties, forming a global supply chain model. At the same time, this model produces unpredictable and catastrophic issues, threatening the security of individuals and countries. As for guaranteeing the security of ultra-highly integrated chips, detecting slight abnormalities caused by malicious behavior in the current and voltage is challenging, as is achieving computability within a reasonable time and obtaining a golden reference chip; however, artificial intelligence can make everything possible. For the first time, this paper presents a systematic review of artificial-intelligence-based integrated circuit security approaches, focusing on the latest attack and defense strategies. First, the security threats of integrated circuits are analyzed. For one of several key threats to integrated circuits, hardware Trojans, existing attack models are divided into several categories and discussed in detail. Then, for summarizing and comparing the numerous existing artificial-intelligence-based defense strategies, traditional and advanced artificial-intelligence-based approaches are listed. Finally, open issues on artificial-intelligence-based integrated circuit security are discussed from three perspectives: in-depth exploration of hardware Trojans, combination of artificial intelligence, and security strategies involving the entire life cycle. Based on the rapid development of artificial intelligence and the initial successful combination with integrated circuit security, this paper offers a glimpse into their intriguing intersection, aiming to draw greater attention to these issues.
集成电路是网络物理系统的核心,其中数百亿个组件被集成到一个微小的硅芯片中以执行复杂功能。为了实现效用最大化,集成电路的设计和制造生命周期依赖于众多不可信的第三方,形成了一种全球供应链模式。与此同时,这种模式产生了不可预测的灾难性问题,威胁着个人和国家的安全。至于保证超高度集成芯片的安全,检测由电流和电压中的恶意行为引起的微小异常具有挑战性,在合理时间内实现可计算性并获得一个黄金参考芯片也同样具有挑战性;然而,人工智能可以让一切成为可能。本文首次对基于人工智能的集成电路安全方法进行了系统综述,重点关注最新的攻击和防御策略。首先,分析了集成电路的安全威胁。对于集成电路的几个关键威胁之一——硬件木马,将现有的攻击模型分为几类并进行了详细讨论。然后,为了总结和比较众多现有的基于人工智能的防御策略,列出了传统的和先进的基于人工智能的方法。最后,从三个角度讨论了基于人工智能的集成电路安全的开放性问题:对硬件木马的深入探索、人工智能的结合以及涉及整个生命周期的安全策略。基于人工智能的快速发展以及与集成电路安全的初步成功结合,本文对它们有趣的交叉点进行了一瞥,旨在引起对这些问题的更多关注。