Stochastic Heuristic Approach to Addition Chain Problem in PKC for Efficiency and Security Effectiveness

A. M. Noma, A. Muhammad
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Abstract

This paper shows that stochastic heuristic approach for implicitly solving addition chain problem (ACP) in public-key cryptosystem (PKC) enhances the efficiency of the PKC and improves the security by blinding the multiplications/squaring operations involved against side-channel attack (SCA). We show that while the current practical heuristic approaches being deterministic expose the fixed pattern of the operations, using stochastic method blinds the pattern by being unpredictable and generating diffident pattern of operation for the same exponent at a different time. Thus, if the addition chain (AC) is generated implicitly every time the exponentiation operation is being made, needless for such approaches as padding by insertion of dummy operations and the operation is still totally secured against the SCA. Furthermore, we also show that the stochastic approaches, when carefully designed, further reduces the length of the operation than state-of-the-art practical methods for improving the efficiency. We demonstrated our investigation by implementing RSA cryptosystem using the stochastic approach and the results benchmarked with the existing current methods.
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基于效率和安全性的PKC加法链问题的随机启发式方法
本文提出了隐式求解公钥密码系统(PKC)中加法链问题(ACP)的随机启发式方法,该方法通过对涉及的乘法/平方运算进行盲化来防止侧信道攻击(SCA),从而提高了公钥密码系统的效率和安全性。我们表明,虽然目前实用的启发式方法是确定性的,但它暴露了操作的固定模式,而使用随机方法由于不可预测和在不同时间对同一指数产生不确定的操作模式而使模式失明。因此,如果每次执行求幂操作时都隐式地生成加法链(AC),则无需通过插入虚拟操作填充等方法,并且该操作仍然完全不受SCA的影响。此外,我们还表明,当精心设计的随机方法,进一步减少操作的长度比最先进的实用方法,以提高效率。我们通过使用随机方法实现RSA密码系统来展示我们的研究,并使用现有的方法对结果进行基准测试。
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