書誌事項
- 公開日
- 2018
- 資源種別
- journal article
- 権利情報
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- http://www.springer.com/tdm
- DOI
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- 10.1007/978-3-030-00434-7_20
- 公開者
- Springer International Publishing
この論文をさがす
説明
SNOW 2.0 is a software-oriented stream cipher and internationally standardized by ISO/IEC 18033-4. In this paper, we present three attacks on SNOW 2.0 by MILP-aided automatic search algorithms. First, we present an efficient algorithm to find linear masks with the high correlation. It enables us to improve time and data complexities of the known fast correlation attacks. Then we propose a 17-round integral distinguisher out of 32 rounds by evaluating the propagation of the division property. Moreover, we propose a cube attack on the 14-round SNOW 2.0. The time complexity is \(2^{61.59}\) where \(2^{39}\) chosen IVs are required. As far as we know, these are the first investigations about integral and cube attacks of SNOW 2.0, respectively.
収録刊行物
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- Lecture Notes in Computer Science
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Lecture Notes in Computer Science 394-413, 2018
Springer International Publishing
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詳細情報 詳細情報について
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- CRID
- 1360004230496022656
-
- ISSN
- 16113349
- 03029743
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- 資料種別
- journal article
-
- データソース種別
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- Crossref
- KAKEN
- OpenAIRE
