Pinned Repositories
-Linear-CryptanalysisBasic-SPN-cryptanalysis
A Basic SPN cryptanalysis
boomerang-attack-on-Midori64-MIdori-practical-attack
A code for boomerang attack on Midori64
DFA_Simeck
An implementation in C of SIMECK lightweight block ciphers and the simulation of Differential Fault Analysis (DFA) attacks against this family ciphers
LED64-Block-Cipher---Fault-Base-Attack-Solution
Fault-based Attacks on LED64 Block Cipher and possible fix for it
Man-In-The-Middle-attack-PRESENT24-attack
Blazing fast MITM attack on a 24 bits implementation of the PRESENT block cipher algorithm.
MILPBasedSearchAlgorithmDiff
new============Code for FSE 2020 - Improving the MILP-based Security Evaluation Algorithm against Differential-Linear Cryptanalysis Using A Divide-and-Conquer Approach
NID-Integral-Neural-distinguisher
Integral Neural-Distinguisher
preimage-attacks
SAT-based, MILP, and belief propagation preimage attacks on SHA-256 and other cryptographic hash functions
QuantumDifferentialAttack
Source code for quantum differential cryptanalysis
rc4-key-recovery-attacks
Exploits weaknesses in RC4 to mount a chosen-plaintext attack and recover the private key. The vulnerability is similar to the one used to crack WEP, but it targets schemes where the initialisation vector precedes the long term key.
Wbeaching's Repositories
Wbeaching/boomerang-attack-on-Midori64-MIdori-practical-attack
A code for boomerang attack on Midori64
Wbeaching/-public-key-cryptanalysisSHMW
Cryptanalysis of Song et al. rank-based signature scheme (ePrint 2019/053)
Wbeaching/A-Crypto-Cipher-Testing
Use deep learning with a variety of experiments to see if we can learn a cryptography cipher.
Wbeaching/AutoND
Wbeaching/Boomerang-Distinguishers
An Efficient Tool to Search for Boomerang Distinguishers for Feistel and SPN Ciphers
Wbeaching/Boomerang_SKINNY-and-CRAFT
A New Method to Search for Boomerang Distinguishers: Improved Rectangle Attacks on SKINNY and CRAFT
Wbeaching/CD_Differential-Cryptanalysis-of-SPN
A respository of Differential Cryptanalysis. Mainly focusing on SPN structure, lower bound of active Sbox, differential characteristic.
Wbeaching/cripto-lineal-diferencial
Código y resultados del estudio realizado por Sergio Galán Martín en su Trabajo Fin de Grado.
Wbeaching/DFA_arx-dfa
Differential Fault Analysis of ARX Cyphers
Wbeaching/Diferential-Cryptanalysis
Diferential cryptanalysis Present + DES
Wbeaching/differential_cryptanalysis-1
Inplementation on a toy DES cypher and cryptanalysis of the toy cypher
Wbeaching/easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Wbeaching/Exploring-Differential-Based-Distinguishers-and-Forgeries-for-ASCON
Wbeaching/ImpossibleDifferentialAnalysis
The automatic search tool for Impossible differential cryptanalysis
Wbeaching/Liu_LowMC_Division
Wbeaching/MILP_Improved-differential-attacks-on-SNOW-V-SNOW-Vi
Improved-differential-attacks-on-SNOW-V-SNOW-Vi
Wbeaching/ND_An-Assessment-of-Differential-Neural-Distinguishers
Wbeaching/ND_Improved-Neural-Distinguishers-with-Multi-Round-and-Multi-Splicing-Construct
The code is related to 'Improved Neural Distinguishers with Multi-Round and Multi-Splicing Construction',
Wbeaching/ND_Improved-Related-key-Differential-based-Neural-Distinguishers
Wbeaching/ND_speck32_simon32
Supplementary code and data to the paper entitled "Enhancing Differential-Neural Cryptanalysis"
Wbeaching/NeuralDistingsuisherWithInception
Wbeaching/PIPO-MILP
MILP Based Differential Characteristics Search for Lightweight Block Cipher PIPO
Wbeaching/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Wbeaching/RL-Stock
📈 如何用深度强化学习自动炒股
Wbeaching/SAT-SMT-Accelerating_Automatic_Search
Accelerating the Search of Differential andLinear Characteristics with the SAT Method
Wbeaching/SAt-SMT-ArxPy
Tool to find XOR differential and rotational-XOR characteristics of ARX primitives.
Wbeaching/Saturnin-Analysis
Cryptographic Analysis of Saturnin Block Cipher NIST submission 2nd Round
Wbeaching/Truncated-Differentials
Wbeaching/verification_craft
CRAFT: Lightweight Tweakable Block Cipher with Efficient Protection Against DFA Attacks
Wbeaching/VN-MADDPG
Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"