PhD in Network Data Security of UAV vehicles

This work has presented a security mechanism for detecting compromised UAVs in UAV networks for supporting surveillance. It is based on the assumption that people will be usually observed in the border by more than one UAV. Hence, if a UAV repeatedly reports people that are also reported by other UAVs, each UAV will detect this fact following an information diffusion approach inspired by the principles of blockchain. We developed the novel simulator called Opportunistic Network simulator to illustrate this approach. The experimental results indicated that Data Security in Networks of unmanned aerial vehicles real world UAVs. In particular, we plan to apply this approach in the surveillance of country border for detecting cross border activities and reporting. This work may also be tested for assisting military operations in detecting possible threats in critical borders where the terrain is difficult to monitor for military movement.