The goal of this paper is to ease one of the most crucial and tedious steps of profiling attacks i.e. the points of interest (POI) selection and hence assist the SCA evaluation process. To this end, we introduce the usage of Estimation of Distribution Algorithms (EDAs) in the SCA field in order to automatically tune the point of interest selection. We showcase our approach on several experimental use cases, including attacks on unprotected and protected AES implementations over distinct copies of the same device, dismissing in this way the portability issue.
Category / Keywords: applications / SCA, Profiling Attacks, Template attacks, Portability, POI selection, EDAs, AES, Masking countermeasure Date: received 24 Dec 2020 Contact author: urioja at ikerlan es, unai riojasabando@ru nl, lejla batina@ru nl, jlflores@ikerlan es, iarmendariz@ikerlan es Available format(s): PDF | BibTeX Citation Version: 20201227:131240 (All versions of this report) Short URL: ia.cr/2020/1600