首页> 外文会议>Fault Diagnosis and Tolerance in Cryptography; Lecture Notes in Computer Science; 4236 >Data and Computational Fault Detection Mechanism for Devices That Perform Modular Exponentiation
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Data and Computational Fault Detection Mechanism for Devices That Perform Modular Exponentiation

机译:执行模幂运算的设备的数据和计算故障检测机制

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Fault attacks have become an efficient methodology for extracting secrets stored in embedded devices, and proper countermeasures against such attacks are nowadays considered necessary. This paper describes a simple method for foiling transient fault attacks on devices that perform modular exponentiation with a secret exponent. In the considered scenario, acknowledging an error only at the end of the computations leaks out secret information, and should be avoided. To tackle this difficulty, we propose a scheme that checks, independently, each step (i.e., multiplication/squaring) of the exponentiation algorithm, and aborts the procedure as soon as an error is detected, without completing the computation.
机译:故障攻击已成为提取存储在嵌入式设备中的机密的有效方法,如今,针对此类攻击的适当对策被认为是必要的。本文介绍了一种简单的方法,可以用秘密指数阻止执行模块化指数运算的设备上的瞬时故障攻击。在考虑的情况下,仅在计算结束时才确认错误会泄露机密信息,因此应避免使用。为了解决这个困难,我们提出了一种方案,该方案独立检查幂运算算法的每个步骤(即乘法/平方),并在检测到错误后立即中止该过程而不完成计算。

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