Vectorized linear approximations for attacks on SNOW 3G

Jing Yang, Thomas Johansson, Alexander Maximov

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

SNOW 3G is a stream cipher designed in 2006 by ETSI/SAGE, serving in 3GPP as one of the standard algorithms for data confidentiality and integrity protection. It is also included in the 4G LTE standard. In this paper we derive vectorized linear approximations of the finite state machine in SNOW3G. In particular,we show one 24-bit approximation with a bias around 2−37 and one byte-oriented approximation with a bias around 2−40. We then use the approximations to launch attacks on SNOW 3G. The first approximation is used in a distinguishing attack resulting in an expected complexity of 2172 and the second one can be used in a standard fast correlation attack resulting in key recovery in an expected complexity of 2177. If the key length in SNOW 3G would be increased to 256 bits, the results show that there are then academic attacks on such a version faster than the exhaustive key search.
Original languageEnglish
Title of host publicationFast Software Encryption conference
Pages249-271
DOIs
Publication statusPublished - 2019
Event27th Annual Fast Software Encryption Conference, FSE 2020 - Athens, Greece
Duration: 2020 Mar 222020 Mar 26

Publication series

Name IACR Transactions on Symmetric Cryptology
PublisherIACR
Number4
Volume2019
ISSN (Electronic)2519-173X

Conference

Conference27th Annual Fast Software Encryption Conference, FSE 2020
Country/TerritoryGreece
CityAthens
Period2020/03/222020/03/26

Subject classification (UKÄ)

  • Signal Processing

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