A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers

Traditional cryptanalysis is typically performed using manual calculations or search- ing algorithms,which can be computationally costly and cannot produce additionalin- sights apart from what has been dictated by the cryptanalyst.

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主要作者: Lee, Ting Rong
格式: Thesis
語言:English
出版: 2021
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spelling my-usm-ep.532192022-06-30T15:30:16Z A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers 2021-10 Lee, Ting Rong QA75.5-76.95 Electronic computers. Computer science Traditional cryptanalysis is typically performed using manual calculations or search- ing algorithms,which can be computationally costly and cannot produce additionalin- sights apart from what has been dictated by the cryptanalyst. 2021-10 Thesis http://eprints.usm.my/53219/ http://eprints.usm.my/53219/1/LEE%20TING%20RONG%20-%20TESIS24.pdf application/pdf en public masters Universiti Sains Malaysia. usat Pengajian Sains Komputer
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA75.5-76.95 Electronic computers
Computer science
spellingShingle QA75.5-76.95 Electronic computers
Computer science
Lee, Ting Rong
A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers
description Traditional cryptanalysis is typically performed using manual calculations or search- ing algorithms,which can be computationally costly and cannot produce additionalin- sights apart from what has been dictated by the cryptanalyst.
format Thesis
qualification_level Master's degree
author Lee, Ting Rong
author_facet Lee, Ting Rong
author_sort Lee, Ting Rong
title A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers
title_short A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers
title_full A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers
title_fullStr A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers
title_full_unstemmed A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers
title_sort machine learning approach to evaluate the security of ultra-lightweight block ciphers
granting_institution Universiti Sains Malaysia.
granting_department usat Pengajian Sains Komputer
publishDate 2021
url http://eprints.usm.my/53219/1/LEE%20TING%20RONG%20-%20TESIS24.pdf
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