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Volume 43 Issue 4
Apr.  2021
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Tao YE, Yongzhuang WEI, Lingchen LI. Integral Cryptanalysis of ACE Encryption Algorithm[J]. Journal of Electronics & Information Technology, 2021, 43(4): 908-914. doi: 10.11999/JEIT200234
Citation: Tao YE, Yongzhuang WEI, Lingchen LI. Integral Cryptanalysis of ACE Encryption Algorithm[J]. Journal of Electronics & Information Technology, 2021, 43(4): 908-914. doi: 10.11999/JEIT200234

Integral Cryptanalysis of ACE Encryption Algorithm

doi: 10.11999/JEIT200234
Funds:  The National Natural Science Foundation of China(61872103), The Foundation of Guangxi Science and Technology Program (Guike AB18281019), The Innovation Research Team Project of Guangxi Natural Science Foundation(2019GXNSFGA245004), The Innovation Project of Guangxi Graduate Education(YCBZ2018051), The Foundation of Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (Guilin University of Electronic Technology)(CRKL180107)
  • Received Date: 2020-04-03
  • Rev Recd Date: 2020-01-03
  • Available Online: 2021-02-26
  • Publish Date: 2021-04-20
  • ACE as an authenticated encryption algorithm is selected as one of the round 2 candidates of the lightweight crypto standardization process. Since its excellent design advantages, e.g. simple structure, high performance in software and hardware, and suitable for constrained environments, the security of ACE is received extensive attention. In this paper, the concept of word propagation trail is introduced, and an exact model is constructed to describe the trail. A new automatic method for evaluating the security of word-based cipher against the integral attack is also proposed by using this model. Moreover, based on the structure of ACE, the security of ACE permutation is evaluated by using this new automatic method. More specifically, a new 12-step integral distinguisher of ACE permutation is verified by using this method, which requires the data complexity of about 2256 chosen data, the time complexity of about 2256 12-step ACE permutation operations, and the memory complexity of about 8 Byte. Compared with the distinguishers given by ACE’s designer, this new result prominently increases 4 steps indeed.
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