Computation of Multinomial and Factorial Theorems for Cryptography and Machine Learning
Chinnaraji Annamalai
Abstract
Combinatorial techniques with binomial coefficients, factorials and multinomial computation are used as computing algorithm or cryptographic algorithm for the programs development to apply in artificial intelligence and cybersecurity. Methodological advances in combinatorics and mathematics play a vital role in machine learning and cryptology for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. In this article, combinatorial geometric series is discussed more for the application of machine learning and cybersecurity.
Topics & Concepts
CryptographyMultinomial distributionComputer scienceComputationBinomial (polynomial)Artificial intelligenceTheoretical computer scienceComputer securityMachine learningAlgorithmMathematicsStatisticsCoding theory and cryptography