The Uncertainty of Side-channel Analysis: A Way to Leverage from Heuristics

Abstract

Performing a comprehensive side-channel analysis evaluation of small embedded devices is a process known for its variability and complexity. In real-world experimental setups, the results are largely influenced by a huge amount of parameters, some of which are not easily adjusted without trial and error and are heavily relying on the experience of professional security analysts. In this article, we advocate the usage of an existing statistical methodology called Six Sigma (6 ) for side-channel analysis optimization. This well-known methodology is commonly used in other industrial fields, such as production and quality engineering, to reduce the variability of industrial processes. We propose a customized Six Sigma methodology, which allows even a less-experienced security analysis to select optimal values for the different variables that are critical for the side-channel analysis procedure. Moreover, we show how our methodology helps in improving different phases in the side-channel analysis process.