| 引用本文： |
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冯 祺,周永彬,明经典,张 倩.基于时频特征的多源融合信息泄漏检测方法[J].信息安全学报,已采用 [点击复制]
- FENG Qi,ZHOU Yongbin,MING Jingdian,ZHANG Qian.Time-Frequency Characteristics Based Multi-Channel Fusion Leakage Detection[J].Journal of Cyber Security,Accept [点击复制]
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| 摘要: |
| 泄漏检测是评估密码设备信息泄漏风险威胁的一项重要技术,主要通过假设检验的方式检测是否存在与敏感数据相关的信息泄漏。密码芯片在运行过程中会同时产生能量消耗、电磁辐射等多种信息泄漏,仅对其中一种特定类型的信息泄漏进行检测容易忽视多种信息泄漏之间存在的内在关联性,故难以充分刻画密码设备的实际安全性。多源融合信息泄漏检测是试图克服这一重要技术缺陷的新方向。本文提出基于时频特征的多源融合信息泄漏检测方法,并从频率信息泄漏点密度、信噪比、维数等多个视角分析了其可行性与适用性。实验结果表明,在采样点数量相同的情况下,与已有检测方法相比,本文新方法的误报率降低99.33%~99.97%；在确定性和非确定性检测情况下,与已有检测方法相比,本文新方法检测出泄漏所需侧信息数量分别降低15%~52%和29%~64%。 |
| 关键词: 密码设备 侧信道分析 泄漏检测 时频特征 多源融合 |
| DOI：10.19363/J.cnki.cn10-1380/tn.2023.08.02 |
| 投稿时间：2020-12-18修订日期：2021-02-01 |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| Time-Frequency Characteristics Based Multi-Channel Fusion Leakage Detection |
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FENG Qi, ZHOU Yongbin, MING Jingdian, ZHANG Qian
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| (State Key Laboratory of Information Security,Institute of Information Engineering,Chinese Academy of Sciences) |
| Abstract: |
| Leakage detection is an important technology to assess the risk of leakage of cryptographic device, it is to find the evidence of dependency between leakages and sensitive data through hypothesis testing. Various information leakages such as power and electromagnetic are generated during the running of cryptographic devices. Detecting only one specific type of information leakage ignores the inherent correlation between multiple information leakages, so it is difficult to fully characterize the actual security of cryptographic devices. Multi-channel fusion leakage detection is a new direction to overcome this technical defect. This paper proposes time-frequency characteristics based multi-channel fusion leakage detection, the feasibility and applicable scenarios of this method are analyzed from the perspectives of frequency information leakage density, signal-to-noise ratio, dimension, etc. The experimental results show that the false positive rate of the new method proposed in this paper is reduced by 99.33%~99.97% compared with the existing detection methods when the number of sampling points is the same. In the case of specific and non-specific test, compared with the existing detection methods, the number of measures required to detect by the new method in this paper is reduced by 15%~52% and 29%~64% respectively. |
| Key words: Cryptographic Device Side Channel Analysis Leakage Detection Time-Frequency Characteristics Multi-Channel Fusion |
