Deep learning-based prediction of reflection attacks using NetFlow data
| dc.contributor.author | Chuah, Edward | |
| dc.contributor.author | Jhumka, Arshad | |
| dc.contributor.author | Ayesh, Aladdin | |
| dc.contributor.institution | University of Aberdeen.Cybersecurity and Privacy | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Natural & Computing Sciences | en |
| dc.date.accessioned | 2025-06-11T11:18:01Z | |
| dc.date.available | 2025-06-11T11:18:01Z | |
| dc.date.issued | 2025-09 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 18 | |
| dc.format.extent | 685114 | |
| dc.format.extent | 781627 | |
| dc.identifier | 304016527 | |
| dc.identifier | fabbad09-b748-4426-b37e-713ee8850781 | |
| dc.identifier | 105005408083 | |
| dc.identifier.citation | Chuah, E, Jhumka, A & Ayesh, A 2025, 'Deep learning-based prediction of reflection attacks using NetFlow data', Computers & Security, vol. 156, 104527. https://doi.org/10.1016/j.cose.2025.104527 | en |
| dc.identifier.doi | 10.1016/j.cose.2025.104527 | |
| dc.identifier.issn | 0167-4048 | |
| dc.identifier.other | ORCID: /0000-0002-5883-6113/work/185644566 | |
| dc.identifier.other | ORCID: /0000-0002-8659-1803/work/185646206 | |
| dc.identifier.uri | https://hdl.handle.net/2164/25554 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Computers & Security | en |
| dc.subject | Large networks | en |
| dc.subject | Reflection attack prediction | en |
| dc.subject | NetFlow data | en |
| dc.subject | Deep learning models | en |
| dc.subject | Recurrent Neural Network | en |
| dc.subject | Long Short-Term Memory | en |
| dc.subject | Temporal Convolutional Network (TCN) | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Supplementary Data | en |
| dc.subject | DAS | en |
| dc.subject | Link | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Deep learning-based prediction of reflection attacks using NetFlow data | en |
| dc.type | Journal article | en |
