An Analytic Attack against ARX Addition Exploiting Standard Side-channel Leakage

Yan Yan, Elisabeth Oswald, Srinivas Vivek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the last few years a new design paradigm, the so-called ARX (modular addition, rotation, exclusive-or) ciphers, have gained popularity in part because of their non-linear operation’s seemingly ‘inherent resilience’ against Differential Power Analysis (DPA) Attacks: the non-linear modular addition is not only known to be a poor target for DPA attacks, but also the computational complexity of DPA-style attacks grows exponentially with the operand size and thus DPA-style attacks quickly become practically infeasible. We however propose a novel DPA-style attack strategy that scales linearly with respect to the operand size in the chosen-message attack setting.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Information Systems Security and Privacy - ICISSP
PublisherSCITEPRESS, Science and Technology Publications, Lda
Pages89-97
Number of pages9
ISBN (Print)9789897584916
DOIs
Publication statusPublished - Feb 2021
Event7th International Conference on Information Systems Security and Privacy, ICISSP 2021 - Virtual, Online
Duration: 11 Feb 202113 Feb 2021

Publication series

NameInternational Conference on Information Systems Security and Privacy
ISSN (Electronic)2184-4356

Conference

Conference7th International Conference on Information Systems Security and Privacy, ICISSP 2021
CityVirtual, Online
Period11/02/2113/02/21

Bibliographical note

Funding Information:
This work has been funded in parts by the European Union (EU) via the ERC project 725042 (acronym SEAL). The third author’s work was funded by the INSPIRE Faculty Award (DST, Govt. of India).

Publisher Copyright:
© 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

Keywords

  • ARX Construction
  • Chosen Plaintext Attack
  • Hamming Weight
  • Side-channel Analysis

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

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