Detail publikace

Profiling Power Analysis Attack Based on MLP in DPA Contest V4.2

MARTINÁSEK, Z. DZURENDA, P. MALINA, L.

Originální název

Profiling Power Analysis Attack Based on MLP in DPA Contest V4.2

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

DPA (Differential Power Analysis) Contest is well-known international framework that allows researchers to compare their power analysis attacks under the same conditions. The latest version of DPA Contest V4.2 provides an improved software implementation of the Rotating Sbox Masking (RSM) scheme. The improved RSM combines low-entropy boolean masking with the shuffling technique to protect AES (Advanced Encryption Standard) implementation on a smart card. The improvements were designed based on the lacks that were analyzed during the previous DPA Contest V4.1. Therefore, this new implementation should resist most of the proposed attacks to the origin RSM implementation. In this article, we proposed and implemented profiling power analysis attack that aimed improved RSM implementation and is based on template attack and MLP attack (multy-layer perceptorn).

Klíčová slova

DPA; DPA Contest; masking; Power analysis; RSM;

Autoři

MARTINÁSEK, Z.; DZURENDA, P.; MALINA, L.

Vydáno

31. 5. 2016

ISBN

978-1-5090-1287-9

Kniha

39th International Conference on Telecommunications and Signal Processing (TSP)

ISSN

1805-5435

Periodikum

International Conference on Telecommunications and Signal Processing (TSP)

Stát

Česká republika

Strany od

223

Strany do

226

Strany počet

4

URL

BibTex

@inproceedings{BUT126645,
  author="Zdeněk {Martinásek} and Petr {Dzurenda} and Lukáš {Malina}",
  title="Profiling Power Analysis Attack Based on MLP in DPA Contest V4.2",
  booktitle="39th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2016",
  journal="International Conference on Telecommunications and Signal Processing (TSP)",
  pages="223--226",
  doi="10.1109/TSP.2016.7760865",
  isbn="978-1-5090-1287-9",
  issn="1805-5435",
  url="https://ieeexplore.ieee.org/document/7760865"
}