The deployment of a multi-UAV surveillance network raises significant security and privacy implications. One major concern is the potential for unauthorized interception of communications between ground nodes, which could lead to the exposure of sensitive information. Additionally, the UAVs themselves may be vulnerable to hacking or spoofing, allowing adversaries to manipulate their trajectories or surveillance capabilities.
To address these concerns, the proposed framework can be adapted by incorporating encryption and authentication mechanisms into the communication protocols. This would ensure that all data transmitted between ground nodes and the CU is secure and cannot be easily intercepted by eavesdroppers. Furthermore, implementing anomaly detection algorithms within the GKAE can help identify unusual patterns in UAV behavior or communication, signaling potential security breaches.
Moreover, the framework can include privacy-preserving techniques such as differential privacy, which would allow ground nodes to share their location and communication data without revealing their exact positions or identities. This can be particularly important in covert operations where maintaining anonymity is crucial. By integrating these security and privacy measures, the GKAE framework can enhance the resilience of covert communication against potential threats posed by multi-UAV surveillance networks.