嵌入式系统新出现的(非)基于可靠性的安全威胁和缓解:特别会议

H. Amrouch, P. Krishnamurthy, Naman Patel, J. Henkel, R. Karri, F. Khorrami
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引用次数: 14

摘要

本文讨论了嵌入式系统的两种基于可靠性的安全威胁和缓解措施,即老化和热侧通道。通过使用电压缩放或特殊设计的指令序列来侵犯嵌入式处理器保护带,可以将器件老化用作硬件攻击向量。可以利用短期老化效应来引起嵌入式设备的瞬态退化而不留下攻击的任何痕迹。(热)侧通道可以用作攻击向量和防御。具体来说,热侧通道是远程监控嵌入式处理器上的代码执行和/或可能泄漏信息的有效且安全的方法。虽然检测异常的算法手段多种多样,但机器学习工具是检测异常的有效工具。我们将展示这种利用深度学习网络与热侧通道相结合来检测代表异常的代码注入/修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging (un-)reliability based security threats and mitigations for embedded systems: special session
This paper addresses two reliability-based security threats and mitigations for embedded systems namely, aging and thermal side channels. Device aging can be used as a hardware attack vector by using voltage scaling or specially crafted instruction sequences to violate embedded processor guard bands. Short-term aging effects can be utilized to cause transient degradation of the embedded device without leaving any trace of the attack. (Thermal) side channels can be used as an attack vector and as a defense. Specifically, thermal side channels are an effective and secure way to remotely monitor code execution on an embedded processor and/or to possibly leak information. Although various algorithmic means to detect anomaly are available, machine learning tools are effective for anomaly detection. We will show such utilization of deep learning networks in conjunction with thermal side channels to detect code injection/modification representing anomaly.
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