Results 11 to 20 of about 1,639 (282)
Improved Neural Differential Distinguisher Model for Lightweight Cipher Speck [PDF]
At CRYPTO 2019, Gohr proposed the neural differential distinguisher using the residual network structure in convolutional neural networks on round-reduced Speck32/64. In this paper, we construct a 7-round differential neural distinguisher for Speck32/64,
Xiaoteng Yue, Wanqing Wu
doaj +2 more sources
New Results on the SymSum Distinguisher on Round-Reduced SHA3 [PDF]
In ToSC 2017 Saha et al. demonstrated an interesting property of SHA3 based on higher-order vectorial derivatives which led to self-symmetry based distinguishers referred to as SymSum and bettered the complexity w.r.t the well-studied ZeroSum ...
Saha Dhiman
exaly +5 more sources
Novel distinguisher for SM4 cipher algorithm based on deep learning [PDF]
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 ...
Huijiao WANG +3 more
doaj +4 more sources
Optimal combined distinguisher of stream cipher with multiple independent distinguishing characters [PDF]
It is an open problem to combine many distinguishing characters to construct a distinguisher with more advantage.An optimal combined distinguisher based on multiple independent distinguishing characters was proposed.The computing method of distinguishing
Hai-ying GAO, Chen-hui JIN
doaj +4 more sources
Improved integral distinguisher of Grøstl-512 [PDF]
Firstly,the distinguisher of Grøstl-512 proposed by Minier in CANS 2010 was corrected.Then,the integral distinguisher of Grøstl-512 compression function was improved.By using the saturation technique new 11-round integral distinguishers of P function and
Ming MAO, Zhi-guang QIN, Yan-jun LI
doaj +3 more sources
The syzygy Distinguisher [PDF]
47 pages; v6: updated and expanded version, to be submitted to Journal of ...
Hugues RANDRIAMBOLOLONA
core +9 more sources
Improved integral neural distinguisher model for lightweight cipher PRESENT [PDF]
PRESENT is a lightweight block cipher, which has attracted many scholars to research its security. In 2022, Zahednejad et al. proposed the integral neural distinguisher on round-reduced PRESENT.
Wanqing Wu, Mingyu Guo
doaj +2 more sources
A New (Related-Key) Neural Distinguisher Using Two Differences for Differential Cryptanalysis [PDF]
At CRYPTO 2019, Gohr showed the significant advantages of neural distinguishers over traditional distinguishers in differential cryptanalysis. At fast software encryption (FSE) 2024, Bellini et al.
Gao Wang, Gaoli Wang, Siwei Sun
doaj +2 more sources
Integral Cryptanalysis of WARP based on Monomial Prediction
WARP is a 128-bit block cipher published by Banik et al. at SAC 2020 as a lightweight alternative to AES. It is based on a generalized Feistel network and achieves the smallest area footprint among 128-bit block ciphers in many settings.
Hosein Hadipour, Maria Eichlseder
doaj +1 more source
Distinguishing Mutant knots [PDF]
Knot theory is actively studied both by physicists and mathematicians as it provides a connecting centerpiece for many physical and mathematical theories. One of the challenging problems in knot theory is distinguishing mutant knots. Mutant knots are not distinguished by colored HOMFLY-PT polynomials for knots colored by either symmetric and or ...
L. Bishler +8 more
openaire +3 more sources

