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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| Format: | Thesis |
| Language: | en |
| Published: |
2021
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| Online Access: | http://eprints.usm.my/53219/1/LEE%20TING%20RONG%20-%20TESIS24.pdf http://eprints.usm.my/53219/ |
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| _version_ | 1834505395732742144 |
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| author | Lee, Ting Rong |
| author_facet | Lee, Ting Rong |
| author_sort | Lee, Ting Rong |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.usm.eprints.53219 |
| institution | Universiti Sains Malaysia |
| language | en |
| publishDate | 2021 |
| record_format | eprints |
| spelling | my.usm.eprints.53219 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/53219/1/LEE%20TING%20RONG%20-%20TESIS24.pdf http://eprints.usm.my/53219/ |
| url_provider | http://eprints.usm.my/ |