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Related-Key Boomerang Attacks on GIFT with Automated Trail Search Including BCT Effect

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Information Security and Privacy (ACISP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11547))

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Abstract

In Eurocrypt 2018, Cid et al. proposed a novel notion called the boomerang connectivity table, which formalised the switch property in the middle round of boomerang distinguishers in a unified approach. In this paper, we present a generic model of the boomerang connectivity table with automatic search technique for the first time, and search for (related-key) boomerang distinguishers directly by combining with the search of (related-key) differential characteristics. With the technique, we are able to find 19-round related-key boomerang distinguishers in the lightweight block cipher Gift-64 and Gift-128. Interestingly, a transition that is not predictable by the conventional switches is realised in a boomerang distinguisher predicted by the boomerang connectivity table. In addition, we experimentally extend the 19-round distinguisher by one more round. A 23-round key-recovery attack is presented on Gift-64 based on the distinguisher, which covers more rounds than previous known results in the single-key setting. Although the designers of Gift do not claim related-key security, bit positions of the key addition and 16-bit rotations were chosen to optimize the related-key differential bound. Indeed, the designers evaluated related-key differential attacks. This is the first work to present better related-key attacks than the simple related-key differential attack.

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Acknowledgement

The authors would like to thank the reviewers for their valuable comments. Yunwen Liu is supported by National Natural Science Foundation (No. 61672530, No. 61702537) and Research Fund KU Leuven grant C16/18/004.

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Correspondence to Yu Sasaki .

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Liu, Y., Sasaki, Y. (2019). Related-Key Boomerang Attacks on GIFT with Automated Trail Search Including BCT Effect. In: Jang-Jaccard, J., Guo, F. (eds) Information Security and Privacy. ACISP 2019. Lecture Notes in Computer Science(), vol 11547. Springer, Cham. https://doi.org/10.1007/978-3-030-21548-4_30

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  • DOI: https://doi.org/10.1007/978-3-030-21548-4_30

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