近似计算系统的安全威胁分析与攻击模型

Pruthvy Yellu, Landon Buell, Miguel Mark, M. Kinsy, Dongpeng Xu, Qiaoyan Yu
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引用次数: 6

摘要

近似计算(AC)代表了一种从传统的精确处理到不精确计算的范式转变,但仍然满足系统对精度的要求。各种交流技术的快速发展使我们能够将近似计算应用于许多计算密集型应用。然而,通信技术的使用可能会给计算系统带来新的独特的安全威胁。这项工作对现有的电路、体系结构和编译器级近似机制/算法进行了调查,特别强调了潜在的安全漏洞。进行定性和定量分析,以评估新的安全威胁对交流系统的影响。此外,本研究提出了四种独特的视觉攻击模型,系统地涵盖了构建隐蔽通道、补偿近似误差、终止正常错误恢复机制和传播额外错误的攻击。为了阻止这些攻击,这项工作进一步提供了对策设计的指导方针。提供了几个案例研究来说明所建议对策的实施情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security Threat Analyses and Attack Models for Approximate Computing Systems
Approximate computing (AC) represents a paradigm shift from conventional precise processing to inexact computation but still satisfying the system requirement on accuracy. The rapid progress on the development of diverse AC techniques allows us to apply approximate computing to many computation-intensive applications. However, the utilization of AC techniques could bring in new unique security threats to computing systems. This work does a survey on existing circuit-, architecture-, and compiler-level approximate mechanisms/algorithms, with special emphasis on potential security vulnerabilities. Qualitative and quantitative analyses are performed to assess the impact of the new security threats on AC systems. Moreover, this work proposes four unique visionary attack models, which systematically cover the attacks that build covert channels, compensate approximation errors, terminate normal error resilience mechanisms, and propagate additional errors. To thwart those attacks, this work further offers the guideline of countermeasure designs. Several case studies are provided to illustrate the implementation of the suggested countermeasures.
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