Name
Title | ||
|---|---|---|
Lightweight IDS For UAV Networks: A Periodic Deep Reinforcement Learning-based Approach |
Abstract | ||
|---|---|---|
The use of intrusion detection systems (IDS) has become crucial for modern networks. To ensure the targeted performance of such networks, diverse techniques were introduced to enhance system reliability. Many network designs have adapted the use of Unmanned Aerial Vehicles (UAVs) to provide wider coverage and meet performance targets. However, the cybersecurity aspect of UAVs has not been fully co... |
Year | Venue | Keywords |
|---|---|---|
2021 | 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM) | Energy consumption,Simulation,Intrusion detection,Reinforcement learning,Numerical simulation,Unmanned aerial vehicles,Reliability |
DocType | ISBN | Citations |
Conference | 978-3-903176-32-4 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Bouhamed | 1 | 0 | 0.34 |
| Ouns Bouachir | 2 | 10 | 2.51 |
| moayad aloqaily | 3 | 331 | 37.67 |
| Ismaeel Al Ridhawi | 4 | 140 | 14.80 |