Predict python's random module generated values.
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Updated
Nov 29, 2024 - Python
Predict python's random module generated values.
Crypto projects in python, e.g. Attacks to Vigenere, RSA, Telnet Protocol, Hip Replacement , Vernam cipher, Crack Zip Files, Encryptions RC4, Steganography, Feistel cipher, Superincreasing Knapsac, Elliptic Curve Cryptography, Diffie Hellman & EDF.
Many best in class pseudo random generators grouped into one simple library.
You can find the source codes and algorithms proposed by this "Bit Plane Slicing and Quantization-Based Color Image Watermarking in Spatial Domain" study
Cryptographically strong pseudo-random number generator
Cryptographically Secure AES DRBG NIST SP 800-90A, Rev 1 pseudo-random number generator (PRNG) in Pure Python
Algoritmos de cifrado basados en la dinamica de sistemas caoticos
Embed secret messages into audio files using the LSB method, with pseudorandom index selection for enhanced security.
Code for Principles of Information Security assignment
Uma compilação de vários métodos de computação científica aplicados a problemas físicos. / A compilation of many scientific computing methods applied to physics problems.
Pseudo Random number generator in Python, uses a very basic guessable algorithm but it's funny
Pseudorandom binary sequence generator API based on a shift register with linear feedback and a matrix shift register algorithms.
HTB Kryptos (10.10.10.129)
A Secure Password Generator Developed in Python with CustomTkinter UI Library
Saratov State University, CSIT. Discipline "pseudo-random numbers generators" (псевдослучайные генераторы, rus)
Application for producing Heatmap Visualizations of Pseudorandom Number Generator algorithms that can be used to analyze the properties of different ways of producing pseudorandom number sequences. The project and associated thesis was completed for Departmental Honors in Computer Science at University of Massachusetts Boston.
This is the repo to house a study into the design and randomness of Pseudorandom number generation algorithms and my quest to find a semi-truly random algorithm.
This code estimates the area where two ellipses overlap by simulating random points within a specific area and checking how many of these points fall inside both ellipses. It leverages classes to represent points and ellipses in 2D space and uses a pseudo-random number generator for the simulation.
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