Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis

Abstract : Profiled side-channel attacks are the most powerful attacks and they consist of two steps. The adversary first builds a leakage model, using a device similar to the target one, then it exploits this leakage model to extract the secret information from the victim's device. These attacks can be seen as a classification problem, where the adversary needs to decide to what class (corresponding to the secret key) the traces collected from the victim's devices belong to. For a number of years, the research community studied profiled attacks and proposed numerous improvements. Despite a large number of empirical works, a framework with strong theoretical foundations to address profiled side-channel attacks is still missing. In this paper, we propose a framework capable of modeling and evaluating all profiled analysis attacks. This framework is based on the expectation estimation problem that has strong theoretical foundations. Next, we quantify the effects of perturbations injected at different points in our framework through robustness analysis where the perturbations represent sources of uncertainty associated with measurements, non-optimal classifiers, and methods. Finally, we experimentally validate our framework using publicly available traces, different classifiers, and performance metrics.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [36 references]  Display  Hide  Download

https://hal.inria.fr/hal-02010603
Contributor : Annelie Heuser <>
Submitted on : Thursday, February 7, 2019 - 12:08:03 PM
Last modification on : Thursday, January 7, 2021 - 4:39:51 PM
Long-term archiving on: : Wednesday, May 8, 2019 - 2:39:22 PM

File

2018-1123.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02010603, version 1

Citation

Stjepan Picek, Annelie Heuser, Cesare Alippi, Francesco Regazzoni. When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis. 2019. ⟨hal-02010603⟩

Share

Metrics

Record views

223

Files downloads

315