Security, privacy and safety evaluation of dynamic and static fleets of drones
Akram, R. N., Markantonakis, K., Mayes, K., Habachi, O., Sauveron, D., Steyven, A., & Chaumette, S. (2017)
Security, privacy and safety evaluation of dynamic and static fleets of drones. In 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC),https://doi.org/10.1109/dasc.2017.8101984
Interconnected everyday objects, either via public or private networks, are gradually becoming reality in modern life -- often referred to as the Internet of Things (IoT) or C...
A 3D Smooth Random Walk Mobility Model for FANETs
Lin, N., Gao, F., Zhao, L., Al-Dubai, A., & Tan, Z. (2019)
A 3D Smooth Random Walk Mobility Model for FANETs. In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00075
The number of Unmanned Aerial Vehicles (UAVs) applications has increased over the past few years. Among all scenarios, UAV group consisting multi-UAVs is normally used to prov...
A Multi-UAV Clustering Strategy for Reducing Insecure Communication Range
Wu, J., Zou, L., Zhao, L., Al-Dubai, A., Mackenzie, L., & Min, G. (2019)
A Multi-UAV Clustering Strategy for Reducing Insecure Communication Range. Computer Networks, 158, 132-142. https://doi.org/10.1016/j.comnet.2019.04.028
Multi-unmanned aerial vehicle (UAV) ﬂight formations can be deployed to monitor large areas. Individual UAVs communicate and exchange information while formation ﬂying. but, s...