이인훈, 홍석희, 김희석, 박수진, 김규상, 김준섭,

Vol. 35, No. 1, pp. 1-10, 2월. 2025
10.13089/JKIISC.2025.35.1.1, Full Text:
Keywords: Side channel analysis, HIGHT, Joint Distribution Analysis, Masking
Abstract

IoT devices inevitably leak side channel information such as sound, electromagnetic waves and power consumption during operation. Side channel analysis exploits these leaked information to recover secret keys within the devices. Recently, novel statistical methods have been proposed to recover secret keys such as joint distribution based side channel analysis using only multiple power consumption traces without plaintext or ciphertext information. This paper introduces a joint distribution analysis on lightweight block cipher HIGHT, with a focus on new nonlinear functions and within its round function. Additionally, the proposed method is applied to the HIGHT algorithm implemented with masking techniques designed to resist first-order power analysis. Simulation traces are used to perform joint distribution analysis experiments on the presented nonlinear functions. For HIGHT, functions and achieve 100% subkey recovery success rates when the noise standard deviation is 0.3 or lower and 0.4 or lower, respectively. For masked HIGHT, functions and achieve subkey recovery success rates of 100% and over 96%, respectively, when the noise standard deviation is 0.2 or lower.

Statistics
Cite this article