Publication detail

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

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

Original Title

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

Type

conference paper

Language

English

Original Abstract

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).

Keywords

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

Authors

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

Released

31. 5. 2016

ISBN

978-1-5090-1287-9

Book

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

ISBN

1805-5435

Periodical

International Conference on Telecommunications and Signal Processing (TSP)

State

Czech Republic

Pages from

223

Pages to

226

Pages count

4

URL

https://ieeexplore.ieee.org/document/7760865

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"
}