Towards AI-Enabled Hardware Security: Challenges and Opportunities
Towards AI-Enabled Hardware Security: Challenges and Opportunities
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DOI：
10.1109/iolts56730.2022.9897507
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发表时间：
2022-09
期刊：
影响因子：
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通讯作者：
H. Sayadi;Mehrdad Aliasgari;Furkan Aydin;S. Potluri;Aydin Aysu;Jacky Edmonds;Sara Tehranipoor
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文献类型：
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作者：
H. Sayadi;Mehrdad Aliasgari;Furkan Aydin;S. Potluri;Aydin Aysu;Jacky Edmonds;Sara Tehranipoor
人工智能（AI）和机器学习（ML）的最新发展，由新兴计算系统中数据规模的大幅增加所驱动，已经导致这种智能技术在包括安全在内的各个学科中的成功应用。传统上，数据的完整性已经在软件级别上用各种安全协议来保护，其中底层硬件被假定为是安全的。然而，随着硬件上报告的攻击数量的增加，这种假设不再正确。新的安全威胁的出现（例如，恶意软件、侧通道攻击等）需要修补/更新需要大量内存和硬件资源的基于软件的解决方案。因此，安全性应该委托给底层硬件，构建一个自下而上的解决方案来保护计算设备，而不是将其视为事后的想法。本文强调了AI/ML技术在硬件和架构安全领域日益增长的作用，并就设计准确高效的基于机器学习的攻击和防御机制的紧迫挑战、机遇和未来方向进行了深入讨论，以应对现代计算机系统和下一代密码系统中出现的硬件安全漏洞。
Recent developments in Artificial Intelligence (AI) and Machine Learning (ML), driven by a substantial increase in the size of data in emerging computing systems, have led into successful applications of such intelligent techniques in various disciplines including security. Traditionally, integrity of data has been protected with various security protocols at the software level with the underlying hardware assumed to be secure. This assumption however is no longer true with an increasing number of attacks reported on the hardware. The emergence of new security threats (e.g., malware, side-channel attacks, etc.) requires patching/updating the software-based solutions that needs a vast amount of memory and hardware resources. Therefore, the security should be delegated to the underlying hardware, building a bottom-up solution for securing computing devices rather than treating it as an afterthought. This paper highlights the growing role of AI/ML techniques in hardware and architecture security field and provides insightful discussions on pressing challenges, opportunities, and future directions of designing accurate and efficient machine learning-based attacks and defense mechanisms in response to emerging hardware security vulnerabilities in modern computer systems and next generation of cryptosystems.