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Cryptogr. Commun. (2018) 10:803–834
https://doi.org/10.1007/s12095-017-0261-6
Design and analysis of small-state grain-like stream
ciphers
Matthias Hamann1·Matthias Krause1·
Willi Meier2·Bin Zhang3
Received: 25 June 2017 / Accepted: 9 October 2017 / Published online: 8 November 2017
© Springer Science+Business Media, LLC 2017
Abstract Time-memory-data (TMD) tradeoff attacks limit the security level of many clas-
sical stream ciphers to the birthday bound. Very recently, a new field of research has
emerged, which searches for so-called small-state stream ciphers that try to overcome this
limitation. In this paper, existing designs and known analysis of small-state stream ciphers
are revisited and new insights on distinguishers and key recovery are derived based on
TMD tradeoff attacks. A particular result is the transfer of a generic distinguishing attack
suggested in 2007 by Englund et al. to this new class of lightweight ciphers. Our analysis
shows that the initial hope of achieving full security against TMD tradeoff attacks by con-
tinuously using the secret key has failed. In particular, we provide generic distinguishers for
Plantlet and Fruit with complexity significantly smaller than that of exhaustive key search.
However, by studying the assumptions underlying the applicability of these attacks, we are
able to come up with a new design idea for small-state stream ciphers, which might allow
to finally achieve full security against TMD tradeoff attacks. Another contribution of this
paper is the first key recovery attack against the most recent version of Fruit. We show that
there are at least 264 weak keys, each of which does not provide 80-bit security as promised
by designers.
Keywords Stream ciphers ·Lightweight cryptography ·Time-memory-data tradeoff
attacks ·Grain ·Fruit
This article is part of the Topical Collection on Special Issue on Statistics in Design and Analysis of
Symmetric Ciphers
Willi Meier
willi.meier@fhnw.ch
1Lehrstuhl f¨
ur Theoretische Informatik, Universit¨
at Mannheim, 68131 Mannheim, Germany
2FHNW, Windisch, Switzerland
3TCA, SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China
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