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An Efficient DPA Countermeasure for the EtaT Pairing Algorithm over GF(2n) Based on Random Value Addition

机译:基于随机值加法的GF(2n)EtaT配对算法的有效DPA对策

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This paper presents an efficient differential power analysis (DPA) countermeasure for the EtaT pairing algorithm over GF(2n). The proposed algorithm is based on a random value addition (RVA) mechanism. An RVA-based DPA countermeasure for the EtaT pairing computation over GF(3n) was proposed in 2008. This paper examines the security of this RVA-based DPA countermeasure and defines the design principles for making the countermeasure more secure. Finally, the paper proposes an efficient RVA-based DPA countermeasure for the secure computation of the EtaT pairing over GF(2n). The proposed countermeasure not only overcomes the security flaws in the previous RVA-based method but also exhibits the enhanced performance. Actually, on the 8-bit ATmega128L and 16-bit MSP430 processors, the proposed method can achieve almost 39% and 43% of performance improvements, respectively, compared with the best-known countermeasure.
机译:本文针对GF(2n)上的EtaT配对算法提出了一种有效的差分功率分析(DPA)对策。所提出的算法基于随机值加法(RVA)机制。 2008年提出了基于RVA的DPA对策,用于GF(3n)上的EtaT配对计算。本文研究了基于RVA的DPA对策的安全性,并定义了使该对策更加安全的设计原则。最后,本文针对GF(2n)上的EtaT配对的安全计算提出了一种基于RVA的有效DPA对策。所提出的对策不仅克服了以前基于RVA的方法中的安全缺陷,而且还表现出增强的性能。实际上,与最著名的对策相比,在8位ATmega128L和16位MSP430处理器上,所提出的方法分别可以实现近39%和43%的性能提升。

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