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.

Bibliographic Details
Main Author: Lee, Ting Rong
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.usm.my/53219/
http://eprints.usm.my/53219/1/LEE%20TING%20RONG%20-%20TESIS24.pdf
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author Lee, Ting Rong
author_facet Lee, Ting Rong
author_sort Lee, Ting Rong
building USM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T18:35:22Z
format Thesis
id usm-53219
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T18:35:22Z
publishDate 2021
recordtype eprints
repository_type Digital Repository
spelling usm-532192022-06-30T15:30:16Z http://eprints.usm.my/53219/ A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers 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 NonPeerReviewed application/pdf en http://eprints.usm.my/53219/1/LEE%20TING%20RONG%20-%20TESIS24.pdf Lee, Ting Rong (2021) A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers. Masters thesis, Universiti Sains Malaysia..
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
title 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_short 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
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/53219/
http://eprints.usm.my/53219/1/LEE%20TING%20RONG%20-%20TESIS24.pdf