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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Bibliographic Details
Main Author:	Lee, Ting Rong
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/53219/1/LEE%20TING%20RONG%20-%20TESIS24.pdf
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id	my-usm-ep.53219
record_format	uketd_dc
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
_version_	1747822229467430912

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

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