Deep Learning Leakage Assessment

In this work, we explore the topic of Machine Learning (ML) in the area of Leakage Assessment (LA), a subsection of the field of Side-Channel Analysis (SCA). We focus on Deep Learning Leakage Assessment (DL-LA), as proposed by Wegener et al., and its relation to the established Test Vector Leakage Assessment (TVLA). We will do this in the...

Side-channel Attacks on Inner Rounds of AES and PRESENT: A deeper look into the inner rounds of SPN based block ciphers and how this vision can help us attack the intermediate bytes using Deep Learning

Side-channel attacks (SCA) focus on vulnerabilities caused by insecure implementations and exploit them to deduce useful information about the data being processed or the data itself through leakages obtained from the device. There have been many studies exploiting these side-channel leakages, and most of the state-of-the-art attacks have been...