dc.contributor.author | Gueriani, Afrah | |
dc.date.accessioned | 2025-03-17T09:56:41Z | |
dc.date.available | 2025-03-17T09:56:41Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14526 | |
dc.description.abstract | The rapid expansion of the Internet of Things (IoT) and Industrial Internet of Things (IIoT) has significantly transformed various industries, enabling seamless connectivity and automation. However, this growth has also led to an increase in cyber threats targeting IIoT environments, necessitating robust intrusion detection system | fr_FR |
dc.title | Attention-Enhanced GRU-Based Intrusion Detection for Multiclass Attacks in IIoT | fr_FR |
dc.type | Article | fr_FR |