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Multi-Channel Fusion Attacks
DOI:10.1109/TIFS.2017.2672521.png)
Abstract
En 中文
Side channel attacks (SCAs) are a kind of the most powerful means to evaluate the physical security of a crypto device. Multi-channel fusion attacks (MCFAs) belong in SCAs and utilize multi-channel leakages simultaneously. As compared with the known mono-channel attacks, MCFAs have higher potential leakage utilization. However, previous research about MCFAs is scarce. MCFAs have not been studied systematically and classified explicitly. It is hard to select MCFAs strategies properly and perform MCFAs efficiently according to the existing research. In light of this, we classify MCFAs into three groups from the view of fusion for the first time, including data-level, feature-level, and decision-level fusion attacks. Accordingly, we construct six MCFAs and verify their effectiveness in typical scenarios. The applicable scopes and the different performances of MCFAs with different fusion activities are also first discussed. To the best of our knowledge, this paper is the first to systematically investigate MCFAs. We hope that this paper will be helpful to understand MCFAs and offer advice on MCFAs against the different implementations of a crypto algorithm. Besides, a fusion metric that determines which channels are suitable for combination is also proposed and verified by practical experiments.
Keywords:
Side channel attacks
fusion attacks
correlation analysis
fusion metric
partial correlation analysis
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Journal
IF:
8
Papers:
5.3K
Citations:
2.3W
Organization
Cited Papers
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
PROCEEDINGS OF THE IEEE
IF25.9

