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Cryptanalysis of SKINNY in the Framework of the SKINNY 2018--2019 Cryptanalysis Competition
Derbez, Patrick; Lallemand, Virginie; Udovenko, Aleksei
2019In Patterson, Kenneth G.; Stebila, Douglas (Eds.) Selected Areas in Cryptography -- SAC 2019
Peer reviewed
 

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Abstract :
[en] In April 2018, Beierle et al. launched the 3rd SKINNY cryptanalysis competition, a contest that aimed at motivating the analysis of their recent tweakable block cipher SKINNY . In contrary to the previous editions, the focus was made on practical attacks: contestants were asked to recover a 128-bit secret key from a given set of 2^20 plaintext blocks. The suggested SKINNY instances are 4- to 20-round reduced variants of SKINNY-64-128 and SKINNY-128-128. In this paper, we explain how to solve the challenges for 10-round SKINNY-128-128 and for 12-round SKINNY-64-128 in time equivalent to roughly 2^52 simple operations. Both techniques benefit from the highly biased sets of messages that are provided and that actually correspond to the encryption of various books in ECB mode.
Disciplines :
Computer science
Author, co-author :
Derbez, Patrick 
Lallemand, Virginie
Udovenko, Aleksei  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Cryptanalysis of SKINNY in the Framework of the SKINNY 2018--2019 Cryptanalysis Competition
Publication date :
2019
Event name :
Selected Areas in Cryptography – SAC 2019
Event organizer :
University of Waterloo
Event place :
Waterloo, ON, Canada
Event date :
August 12-16, 2019
Audience :
International
Main work title :
Selected Areas in Cryptography -- SAC 2019
Editor :
Patterson, Kenneth G.
Stebila, Douglas
Publisher :
Springer International Publishing, Cham, Unknown/unspecified
ISBN/EAN :
978-3-030-38471-5
Collection name :
LNCS, volume 11959
Pages :
124-145
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR9037104 - Evaluation Of Authenticated Ciphers, 2014 (01/05/2015-30/04/2019) - Aleksei Udovenko
Funders :
FNR - Fonds National de la Recherche [LU]
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since 13 January 2020

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