Results 1 to 10 of about 437 (131)
Enhanced related-key differential neural distinguishers for SIMON and SIMECK block ciphers [PDF]
PeerJ Computer ScienceAt 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.
Gao Wang, Gaoli Wang
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Improved Integral Attack on Reduced-Round Simeck [PDF]
IEEE Access, 2019 Simeck, a family of lightweight block ciphers utilizing Simon-like structure, is widely used under resource constrained environment. So far, many cryptanalysis methods have been used to attack Simeck.
Hang Li, Jiongjiong Ren, Shaozhen Chen
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Improved rotational‐XOR cryptanalysis of Simon‐like block ciphers
IET Information Security, 2022 Rotational‐XOR (RX) cryptanalysis is a cryptanalytic method aimed at finding distinguishable statistical properties in Addition‐Rotation‐XOR‐C ciphers, that is, ciphers that can be described only by using modular addition, cyclic rotation, XOR and the ...
Jinyu Lu +4 more
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On the upper bound of squared correlation of SIMON‐like functions and its applications
IET Information Security, 2022 SIMON is one of the lightweight block ciphers designed by the National Security Agency in 2013, and a technical report including security analysis was published by the design team nearly 4 years later.
Zhengbin Liu +3 more
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Latency-Aware Accelerator of SIMECK Lightweight Block Cipher
Applied Sciences, 2022 This article presents a latency-optimized implementation of the SIMECK lightweight block cipher on a field-programmable-gate-array (FPGA) platform with a block and key lengths of 32 and 64 bits.
Adel R. Alharbi +3 more
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New Results on Machine Learning-Based Distinguishers [PDF]
IEEE Access, 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 can be
Anubhab Baksi +5 more
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Linear Cryptanalysis of Reduced-Round Simeck Using Super Rounds
Cryptography, 2023 The Simeck family of lightweight block ciphers was proposed by Yang et al. in 2015, which combines the design features of the NSA-designed block ciphers Simon and Speck.
Reham Almukhlifi, Poorvi L. Vora
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Investigating Deep Learning Approaches on the Security Analysis of Cryptographic Algorithms
Cryptography, 2021 This paper studies the use of deep learning (DL) models under a known-plaintext scenario. The goal of the models is to predict the secret key of a cipher using DL techniques.
Bang Yuan Chong, Iftekhar Salam
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Algebraic Fault Attack Against SIMECK Cipher Based on Optimized Fault Location [PDF]
Jisuanji gongcheng, 2019 This paper proposes a algebraic fault attack method based on optimized fault location against SIMECK cipher.By analyzing encryption diffusion defect of the SIMECK round function and the failure cause,the deterministic propagation characteristics of ...
HUANG Changyang, WANG Tao, WANG Xiaohan, CHEN Qingchao, YIN Shizhuang
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Cybersecurity, 2021 In this paper, we greatly increase the number of impossible differentials for SIMON and SIMECK by eliminating the 1-bit constraint in input/output difference, which is the precondition to ameliorate the complexity of attacks.
Xuzi Wang +3 more
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