【作者】 崔晓彤； 张洪欣； 方兴； 王元臻； 宁文胥；

【Author】 CUI Xiaotong;ZHANG Hongxin;FANG Xing;WANG Yuanzhen;NING Wenxu;School of Electronic Engineering, Beijing University of Posts and Telecommunications;Beijing Key Laboratory of Work Safety Intelligent Monitoring (Beijing University of Posts and Telecommunications);School of Cyberspace Security, Beijing University of Posts and Telecommunications;

【机构】 北京邮电大学电子工程学院； 安全生产智能监控北京市重点实验室(北京邮电大学)； 北京邮电大学网络空间安全学院；

【摘要】 密码设备运行过程中产生的泄漏检测是客观分析设备物理安全性的重要环节。传统的泄漏检测评估基于某一个统计特性。然而实际情况中,由于时间和设备限制,所获取的泄漏信息量通常是有限的。针对将有限的泄漏信号更高效合理地利用问题,本文设计采集了一种FPGA加密过程中的旁路泄漏信号,并针对旁路泄漏的非平稳时变信号特点,利用局域均值分解方法自适应地把泄漏信号分解成一系列乘积函数(Product Function,PF)分量,将信号的不同PF分量结合不同分类模型更全面客观地进行信息泄漏检测,提高了泄漏检测效率,减少了泄漏检测所需要的能量迹数量。更多还原

【Abstract】 Leak detection generated during the operation of cryptographic devices is an important part of the objective analysis of the physical security of the device. Traditional leak detection evaluation is based on a certain statistical characteristic. In practice,however, the amount of leakage information acquired is usually limited due to time and equipment constraints. In order to utilize the limited leakage signal more efficiently and reasonably, this paper designs and acquires a bypass leakage signal in the FPGA encryption process, and adaptively decomposes the leakage signal into a series of Product Function(PF) components by using the local mean decomposition method for the non-smooth time-varying signal characteristics of the bypass leakage, and combines different PF components of the signal Different classification models are combined to detect information leakage more comprehensively and objectively, which improves the efficiency of leakage detection and reduces the number of energy traces required for leakage detection.更多还原