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Title: Certain investigations in Cryptanalysis of classical ciphers Using genetic algorithm
Researcher: Ragheb toemeh
Guide(s): Arumugam S
Keywords: Cryptanalysis
Genetic Algorithm
Transposition Ciphers
Upload Date: 13-Oct-2014
University: Anna University
Completed Date: 01-02-2008
Abstract: The aim of the research presented in this thesis is to investigate the newlineuse of Genetic Algorithm GA in the cryptanalysis of some classical ciphers newlineThe objective of using GA is to reduce the search space many ways were newlineused to evaluate the fitness function in GA to select the best solutions of keys newlinethese keys are used in the decryption Algorithm to get the most letters of newlinecorrect plaintexts based on fitness value In the research certain investigations newlinehave been carried out on the cryptanalysis of four types of classical ciphers newlinethese ciphers are Vigenere Polyalphabetic Substitution Vernam and newlineTransposition Ciphers The Cryptanalysis of Vigenere cipher by applying Genetic newlinealgorithm is presented The frequency analysis and Score analysis which is newlinethe frequency of common bigrams and trigrams are used as essential factors newlinein fitness function Comparison study has been done between those factors newlineand shown that Score analysis has more ability to get more numbers of correct newlinekeys and plaintexts newline newline
Pagination: xvii, 146p.
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf13.62 kBAdobe PDFView/Open
03_abstract.pdf18.08 kBAdobe PDFView/Open
04_acknowledgement.pdf15.07 kBAdobe PDFView/Open
05_content.pdf38.98 kBAdobe PDFView/Open
06_chapter1.pdf135.95 kBAdobe PDFView/Open
07_chapter2.pdf70.02 kBAdobe PDFView/Open
08_chapter3.pdf209.82 kBAdobe PDFView/Open
09_chapter4.pdf143.05 kBAdobe PDFView/Open
10_chapter5.pdf139.61 kBAdobe PDFView/Open
11_chapter6.pdf143.65 kBAdobe PDFView/Open
12_chapter7.pdf26.03 kBAdobe PDFView/Open
13_reference.pdf30.75 kBAdobe PDFView/Open
14_publication.pdf8.17 kBAdobe PDFView/Open
15_vitae.pdf5.33 kBAdobe PDFView/Open

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