An electromagnetic approach to smart card instruction identification using machine learning techniques
Hippolyte Djonon Tsague, Bhekisipho Twala · 2017
Since the first publication, side channel leakage has been widely used for the purposes of extracting secret information, such as cryptographic keys, from embedded devices. However, in a few instances it has been utilized for extracting other information about the internal state of a computing device. In this paper, we show how to create a robust instruction-level side channel leakage profile of an embedded processor. Using the electromagnetic profile we show how to extract executed instructions from a smart card's leakage with good accuracy. In addition, we provide a comparison between several performance and recognition enhancement tools.