Zobrazeno 1 - 10
of 522
pro vyhledávání: '"distinguisher"'
Autor:
Gao Wang, Gaoli Wang
Publikováno v:
PeerJ Computer Science, Vol 10, p e2566 (2024)
At CRYPTO 2019, Gohr pioneered the application of deep learning to differential cryptanalysis and successfully attacked the 11-round NSA block cipher Speck32/64 with a 7-round and an 8-round single-key differential neural distinguisher. Subsequently,
Externí odkaz:
https://doaj.org/article/247c58f249c541b094cd1d6028fb7406
Publikováno v:
Journal of Mathematical Cryptology, Vol 18, Iss 1, Pp 3-72 (2024)
The use of alternative operations in differential cryptanalysis, or alternative notions of differentials, is lately receiving increasing attention. Recently, Civino et al. managed to design a block cipher that is secure with respect to the classical
Externí odkaz:
https://doaj.org/article/722632af6747441195d21ab63776da93
Publikováno v:
Cybersecurity, Vol 6, Iss 1, Pp 1-16 (2023)
Abstract In CRYPTO 2019, Gohr opens up a new direction for cryptanalysis. He successfully applied deep learning to differential cryptanalysis against the NSA block cipher SPECK32/64, achieving higher accuracy than traditional differential distinguish
Externí odkaz:
https://doaj.org/article/0c01b66e0ee546bfa2b4077d66baca30
Publikováno v:
Tongxin xuebao, Vol 44, Pp 171-184 (2023)
A method was proposed to construct a deep learning distinguisher model for large state block ciphers with large-block and long-key in view of the problem of high data complexity, time complexity and storage complexity of large state block cipher dist
Externí odkaz:
https://doaj.org/article/3b143bc2e7514b72ae7415152d62620e
Publikováno v:
IACR Transactions on Symmetric Cryptology, Vol 2023, Iss 4 (2023)
At Asiacrypt 2017, Rønjom et al. presented key-independent distinguishers for different numbers of rounds of AES, ranging from 3 to 6 rounds, in their work titled “Yoyo Tricks with AES”. The reported data complexities for these distinguishers we
Externí odkaz:
https://doaj.org/article/e7a0bbced5d14ce1bf6c2da5fcc676f8
Publikováno v:
网络与信息安全学报, Vol 9, Pp 154-163 (2023)
The neural distinguisher is a new tool widely used in crypto analysis of some ciphers.For SIMON-like block ciphers, there are multiple choices for their parameters, but the reasons for designer’s selection remain unexplained.Using neural distinguis
Externí odkaz:
https://doaj.org/article/4e42310a0d7946fbbc11a670dc2c80ac
Publikováno v:
IEEE Access, Vol 11, Pp 54175-54187 (2023)
Machine Learning (ML) is almost ubiquitously used in multiple disciplines nowadays. Recently, we have seen its usage in the realm of differential distinguishers for symmetric key ciphers. It has been shown that ML-based differential distinguishers ca
Externí odkaz:
https://doaj.org/article/8835f2ecc6d1456c9188a6a9cc8e996a
Publikováno v:
IACR Transactions on Symmetric Cryptology, Vol 2023, Iss 3 (2023)
Neural cryptanalysis is the study of cryptographic primitives through machine learning techniques. Following Gohr’s seminal paper at CRYPTO 2019, a focus has been placed on improving the accuracy of such distinguishers against specific primitives,
Externí odkaz:
https://doaj.org/article/f4d8d889365a490b8d5b2318575221f8
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