A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers
dc.contributor.author | Lee Ting Rong | |
dc.date.accessioned | 2022-06-30T15:27:00Z | |
dc.date.available | 2022-06-30T15:27:00Z | |
dc.date.issued | 2021-10 | |
dc.description.abstract | 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. | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/15519 | |
dc.publisher | Universiti Sains Malaysia. | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | The Security Of Ultra-lightweight Block Ciphers | en_US |
dc.subject | A Machine Learning Approach | en_US |
dc.title | A Machine Learning Approach To Evaluate The Security Of Ultra-lightweight Block Ciphers | en_US |
dc.type | Thesis | en_US |
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