CiteULike is a free online bibliography manager. Register and you can start organising your references online.

Multiple-Differential Side-Channel Collision Attacks on AES Export

Cryptographic Hardware and Embedded Systems โ€“ CHES 2008 (2008), pp. 30-44.

Citation Format

[Posts]

View FullText article


HailunTan's tags for this article

covert_channel cryptograhy security

X Reviews [Write a review of this article]

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Posting History

X Abstract

In this paper, two efficient multiple-differential methods to detect collisions in the presence of strong noise are proposed - binary and ternary voting. After collisions have been detected, the cryptographic key can be recovered from these collisions using such recent cryptanalytic techniques as linear [1] and algebraic [2] collision attacks. We refer to this combination of the collision detection methods and cryptanalytic techniques as multiple-differential collision attacks (MDCA). When applied to AES, MDCA using binary voting without profiling requires about 2.7 to 13.2 times less traces than the Hamming-weight based CPA for the same implementation. MDCA on AES using ternary voting with profiling and linear key recovery clearly outperforms CPA by requiring only about 6 online measurements for the range of noise amplitudes where CPA requires from 163 to 6912 measurements. These attacks do not need the S-box to be known. Moreover, neither key nor plaintexts have to be known to the attacker in the profiling stage.


X BibTeX record

X RIS record


Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.