| dc.contributor.author | Lokuliyana, Shashika
| |
| dc.contributor.author | Kalupahanage, A.G.A. | |
| dc.contributor.author | Herath, H.M.S.D. | |
| dc.contributor.author | Siriwardana, Deemantha | |
| dc.contributor.author | Bulathsinhala, D.N. | |
| dc.contributor.author | Herath, H.M.T.M. | |
| dc.date.accessioned | 2025-07-02T16:40:41Z | |
| dc.date.available | 2025-07-02T16:40:41Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Lokuliyana, S. and Kalupahanage, A.G.A. and Herath, H.M.S.D. and Siriwardana, D. and Bulathsinhala, D.N. and Herath, H.M.T.M. 2025. Enhancing IoT Resilience: Machine Learning Techniques for Autonomous Anomaly Detection and Threat Mitigation. Procedia Computer Science. 254: pp. 68-77. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/98027 | |
| dc.identifier.doi | 10.1016/j.procs.2025.02.065 | |
| dc.language | English | |
| dc.title | Enhancing IoT Resilience: Machine Learning Techniques for Autonomous Anomaly Detection and Threat Mitigation | |
| dc.type | Journal Article | |
| dcterms.source.volume | 254 | |
| dcterms.source.startPage | 68 | |
| dcterms.source.endPage | 77 | |
| dcterms.source.title | Procedia Computer Science | |
| dc.date.updated | 2025-07-02T16:40:30Z | |
| curtin.department | Office of Global Curtin | |
| curtin.accessStatus | In process | |
| curtin.faculty | Global Curtin | |
| curtin.contributor.orcid | Lokuliyana, Shashika [0000-0002-3075-4212] | |
| curtin.repositoryagreement | V3 | |
