评论:集成电路安全与人工智能之间的巧合之美
Chen Dong1,2, Decheng Qiu1, Bolun Li1
1College of Computer and Data Science, Fuzhou University, Xueyuan Rd., Fuzhou 350108, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
人工智能通过检测硬件木马和其他威胁来增强集成电路安全性. 这篇评论详细介绍了安全的网络物理系统的AI驱动的攻击和防御策略.
科学领域:
- 计算机工程 计算机工程
- 网络安全 网络安全
- 人工智能的人工智能
背景情况:
- 集成电路 (IC) 对网络物理系统至关重要,但它们的全球供应链引入了安全漏洞.
- 在高度集成的芯片中检测微妙的恶意异常是具有挑战性的,因为复杂性和缺乏参考芯片.
研究的目的:
- 系统地审查基于人工智能 (AI) 的综合电路安全方法.
- 分析当前的威胁,特别是硬件木马,以及现有的AI驱动的防御策略.
主要方法:
- 综合电路安全威胁的分析和硬件特洛伊木马攻击模型的分类.
- 列出并比较传统和先进的基于人工智能的防御策略.
- 讨论关于人工智能用于IC安全的开放问题和未来研究方向.
主要成果:
- 确定了IC设计和制造中的关键安全威胁,重点是硬件木马.
- 列出了各种基于AI的方法来检测异常并防御IC攻击.
- 强调了人工智能克服传统IC安全方法的局限性的潜力.
结论:
- 人工智能为提高复杂集成电路的安全性提供了有希望的解决方案.
- 需要进一步的研究来整合人工智能在整个IC生命周期中,以获得强大的安全性.
- 人工智能和IC安全的交集对于保护个人和国家至关重要.
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