There are 0 repository under lcg topic.
SMT based attacks on non cryptographic PRNGs
Random (SLAA338) and pseudorandom (LCG) number generation.
Data and code associated with the paper "Computationally easy, spectrally good multipliers for congruential pseudorandom number generators"
Mixer is a very simple encrypt and decrypt golang library for short strings such as id or hash.
The Dynamic Reflection Library is a small set of classes designed to greatly speed the use of .Net reflection to call constructors, member methods, property setters and getters including those with indexing arguments such as the Item (a.k.a. [] operator), and fields.
Example implementation of getting a Python virtual environment to work with CVMFS LCG views
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Generate Random Numbers Using LCG Method
:see_no_evil: :hear_no_evil: Estimating Pi Using Various Pseudo-Random Number Generators and analysis for heuristic PRNGs and CSPRNGs
Python implementation of attacks to recover the seed from a truncated LCG
Pukall PRNG 64 : mix the output of an LFSR 64 and an LCG 64 (C language or 6502 Assembly)
Research and code regarding Linear Congruential Generators.
Visualize randomness of numbers generated with linear congruential generator.
Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).
Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).
Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Algoritmos estudados na disciplina de simulação computacional.
Red-Black Tree Cryptography
Pseudo-random number generators in Python
Simulation Systems are prepared for the Modeling and Simulation course at Ain Shams University.
This is an application on generating True Random Numbers & Pseudo Random Numbers using the Linear Congruential Algorithm
The paper titled "A secure authenticated image encryption scheme based on elliptic curve cryptography" proposes a robust method for securely transmitting images, particularly medical ones, by employing an authenticated encryption. This algorithm integrates the LRNG, SGPG, and ECC to enhance the randomness and security of the encryption process.
Parallel implementation hack of inherently sequential algorithms. Random Number Generators - Additive LFG and GFSR - implemented with NVIDIA CUDA using Continuous Subsequence Technique and Leap Frog Technique. Paper presented in the International AI Conference 2022, Tel Aviv, Israel.
Simulator and plotter for linear congruential generator (LCG) functions in Python