Horizontal Correlation Analysis of Elliptic Curve Diffie Hellman

S. Karthikeyan, H. El-Razouk
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Abstract

The world is facing a new revolutionary technology transition, Internet of things (IoT). IoT systems requires secure connectivity of distributed entities, including in-field sensors. For such external devices, Side Channel Analysis poses a potential threat as it does not require complete knowledge about the crypto algorithm. In this work, we perform Horizontal Correlation Power Analysis (HCPA) which is a type of Side Channel Analysis (SCA) over the Elliptic Curve Diffie Hellman (ECDH) key exchange protocol. ChipWhisperer (CW) by NewAE Technologies is an open source toolchain which is utilized to perform the HCPA by using CW toolchain. To best of our knowledge, this is the first attempt to implemented ECDH on Artix-7 FPGA for HCPA. We compare our correlation results with the results from AES -128 bits provided by CW. Our point of attack is the Double and Add algorithm which is used to perform Scalar multiplication in ECC. We obtain a maximum correlation of 7% for the key guess using the HCPA. We also discuss about the possible cause for lower correlation and few potentials ways to improve it. In Addition to HCPA we also perform Simple Power Analysis (SPA) (visual) for ECDH, to guess the trailing zeros in the 128- bit secret key for different power traces.
椭圆曲线Diffie Hellman水平相关分析
世界正面临着一场新的革命性技术转型——物联网(IoT)。物联网系统需要分布式实体的安全连接,包括现场传感器。对于这样的外部设备,侧信道分析构成了潜在的威胁,因为它不需要完全了解加密算法。在这项工作中,我们执行水平相关功率分析(HCPA),这是椭圆曲线Diffie Hellman (ECDH)密钥交换协议上的一种侧信道分析(SCA)。NewAE Technologies的ChipWhisperer (CW)是一个开源工具链,利用CW工具链实现HCPA。据我们所知,这是第一次尝试在HCPA的Artix-7 FPGA上实现ECDH。我们将我们的相关结果与CW提供的AES -128比特的结果进行了比较。我们的攻击点是在ECC中用于执行标量乘法的双加算法。我们使用HCPA获得的关键猜测的最大相关性为7%。我们还讨论了相关性降低的可能原因和几种可能的改进方法。除了HCPA之外,我们还对ECDH执行简单功率分析(SPA)(可视化),以猜测不同功率走线的128位密钥中的尾随零。
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