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Fast Near Collision Attack on the Grain v1 Stream Cipher

  • Bin Zhang
  • Chao Xu
  • Willi Meier
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10821)

Abstract

Modern stream ciphers often adopt a large internal state to resist various attacks, where the cryptanalysts have to deal with a large number of variables when mounting state recovery attacks. In this paper, we propose a general new cryptanalytic method on stream ciphers, called fast near collision attack, to address this situation. It combines a near collision property with the divide-and-conquer strategy so that only subsets of the internal state, associated with different keystream vectors, are recovered first and merged carefully later to retrieve the full large internal state. A self-contained method is introduced and improved to derive the target subset of the internal state from the partial state difference efficiently. As an application, we propose a new key recovery attack on Grain v1, one of the 7 finalists selected by the eSTREAM project, in the single-key setting. Both the pre-computation and the online phases are tailored according to its internal structure, to provide an attack for any fixed IV in \(2^{75.7}\) cipher ticks after the pre-computation of \(2^{8.1}\) cipher ticks, given \(2^{28}\)-bit memory and about \(2^{19}\) keystream bits. Practical experiments on Grain v1 itself whenever possible and on a 80-bit reduced version confirmed our results.

Keywords

Cryptanalysis Stream ciphers Grain Near collision 
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Notes

Acknowledgements

We would like to thank the anonymous reviewers for very helpful comments. This work is supported by the National Key R&D Research programm (Grant No. 2017YFB0802504), the program of the National Natural Science Foundation of China (Grant No. 61572482), National Cryptography Development Fund (Grant No. MMJJ20170107) and National Grand Fundamental Research 973 Programs of China (Grant No. 2013CB338002).

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Copyright information

© International Association for Cryptologic Research 2018

Authors and Affiliations

  1. 1.TCA Laboratory, SKLCS, Institute of SoftwareChinese Academy of SciencesBeijingChina
  2. 2.State Key Laboratory of CryptologyBeijingChina
  3. 3.University of Chinese Academy of SciencesBeijingChina
  4. 4.State Key Laboratory of Information Security, Institute of Information EngineeringChinese Academy of SciencesBeijingChina
  5. 5.FHNWWindischSwitzerland

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