3 papers
cs.CR2022
Playing with blocks: Toward re-usable deep learning models for side-channel profiled attacks
Servio Paguada, Lejla Batina, Ileana Buhan +1
This paper introduces a deep learning modular network for side-channel analysis. Our deep learning approach features the capability to exchange part of it (modules) with others net…
cs.CR2021
Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis
Unai Rioja, Lejla Batina, Jose Luis Flores +1
Due to the constant increase and versatility of IoT devices that should keep sensitive information private, Side-Channel Analysis (SCA) attacks on embedded devices are gaining visi…
cs.CR2020
The uncertainty of Side-Channel Analysis: A way to leverage from heuristics
Unai Rioja, Servio Paguada, Lejla Batina +1
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…