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The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations
Profiled side-channel attacks Imbalanced datasets Synthetic examples
2018/5/28
We concentrate on machine learning techniques used for profiled side-channel analysis when having imbalanced data. Such scenarios are realistic and often occurring, for instance in the Hamming weight ...
Characterisation and Estimation of the Key Rank Distribution in the Context of Side Channel Evaluations
side channel evaluations key rank
2016/5/23
Quantifying the side channel security of implementations has been a significant research question for several years in academia but also among real world side channel practitioners. As part of securit...
Leakage Assessment Methodology - a clear roadmap for side-channel evaluations
side-channel analysis t-test leakage assessment
2016/1/3
Evoked by the increasing need to integrate side-channel countermeasures
into security-enabled commercial devices, evaluation labs
are seeking a standard approach that enables a fast, reliable and ro...