A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security
| Main Author: | |
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/66838/ |
| _version_ | 1848800359374389248 |
|---|---|
| author | He, Qiyi |
| author_facet | He, Qiyi |
| author_sort | He, Qiyi |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| first_indexed | 2025-11-14T20:50:18Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-66838 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:50:18Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-668382021-12-08T04:40:23Z https://eprints.nottingham.ac.uk/66838/ A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security He, Qiyi 2021-12-08 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/66838/1/14289562-QiyiHe-PhDThesis.pdf He, Qiyi (2021) A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security. PhD thesis, University of Nottingham. Automated vehicles Security measures; Machine learning; Anomaly detection (Computer security) |
| spellingShingle | Automated vehicles Security measures; Machine learning; Anomaly detection (Computer security) He, Qiyi A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security |
| title | A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security |
| title_full | A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security |
| title_fullStr | A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security |
| title_full_unstemmed | A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security |
| title_short | A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security |
| title_sort | machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security |
| topic | Automated vehicles Security measures; Machine learning; Anomaly detection (Computer security) |
| url | https://eprints.nottingham.ac.uk/66838/ |