AES software and hardware system co-design for resisting side channel attacks

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems Pub Date : 2024-06-26 DOI:10.1111/exsy.13664
Liguo Dong, Xinliang Ye, Libin Zhuang, Ruidian Zhan, M. Shamim Hossain
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Abstract

The threat of side-channel attacks poses a significant risk to the security of cryptographic algorithms. To counter this threat, we have designed an AES system capable of defending against such attacks, supporting AES-128, AES-192, and AES-256 encryption standards. In our system, the CPU oversees the AES hardware via the AHB bus and employs true random number generation to provide secure random inputs for computations. The hardware implementation of the AES S-box utilizes complex domain inversion techniques, while intermediate data is shielded using full-time masking. Furthermore, the system incorporates double-path error detection mechanisms to thwart fault propagation. Our results demonstrate that the system effectively conceals key power information, providing robust resistance against CPA attacks, and is capable of detecting injected faults, thereby mitigating fault-based attacks.

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抵御侧信道攻击的 AES 软硬件系统协同设计
侧信道攻击对加密算法的安全性构成了巨大威胁。为了应对这种威胁,我们设计了一种能够抵御此类攻击的 AES 系统,支持 AES-128、AES-192 和 AES-256 加密标准。在我们的系统中,CPU 通过 AHB 总线监控 AES 硬件,并采用真正的随机数生成技术为计算提供安全的随机输入。AES S-box 的硬件实现采用了复杂的域反转技术,同时使用全时掩码屏蔽中间数据。此外,该系统还采用了双路径错误检测机制来阻止故障传播。我们的研究结果表明,该系统能有效地隐藏密钥功率信息,提供强大的抗 CPA 攻击能力,并能检测到注入的故障,从而减轻基于故障的攻击。
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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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