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Cryptoanalysis of Simple Substitution Ciphers with Genetic Algorithms

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Field Value
 
Title Cryptoanalysis of Simple Substitution Ciphers with Genetic Algorithms
 
Creator Savić, Dragan
Milić, Petar
Mazinjanin, Borislav
 
Subject Analysis
Cryptanalytic tasks
Encryption
Genetic algorithms
Machine learning
 
Description 25-33
Recent advances in the field of machine learning have once again raised the question whether computers can be trained
to perform cryptanalytic tasks. In this paper, we identify the relationship between the machine learning and cryptanalysis
with special attention on the genetic algorithms as a heuristic optimization method inspired by evolution processes in nature.
We have indicated the consequences that new insights of machine learning may have on the reformulation of the practical
criteria of secrecy in the synthesis of information security systems. Through the paper, we describe the approach based on
genetic algorithms in order to confirm which machine learning algorithms are most suited for the purpose of the
cryptanalysis and consequently to verify resistance of encryption algorithms to cryptanalysis.
 
Date 2024-01-08T11:51:10Z
2024-01-08T11:51:10Z
2024-01
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/63178
https://doi.org/10.56042/jsir.v83i1.5324
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.83(01) [January 2024]