Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject intrusion detection systems
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) |
|---|---|---|
| 13-Apr-2025 | Emergent Intrusion Detection System for Fog Enabled Smart Agriculture Using Federated Learning and Blockchain Technology: A Review | Chakravarthy, V; Bell, D; Bhaskaran, S |
| 26-Aug-2022 | MLTs_ADCNs: Machine Learning Techniques for Anomaly Detection in Communication Networks | Oleiwi, HW; Mahawi, DN; Al-Raweshidy, H |
| 20-Dec-2025 | PSO-optimized Graph Neural Networks for ransomware detection in smart grids | Hamed, A; Alahmadi, M; Albshr, A; Fakhry, H; Zobaa, AF; Gaber, T |
| 26-Jul-2025 | Towards Intelligent Threat Detection in 6G Networks Using Deep Autoencoder | Mhawi, DN; Oleiwi, HW; Al-Raweshidy, H |