Abstract:
The study expects to improve the security performance of drones' communication and protect drone networks from physical attacks, thus ensuring the security and real-time ...Show MoreMetadata
Abstract:
The study expects to improve the security performance of drones' communication and protect drone networks from physical attacks, thus ensuring the security and real-time performance. K-means is used to divide all nodes in the network into more uniform clusters to make the network division in the cluster of drones' ad hoc networks more uniform. Additionally, for the security and confidentiality of drone network nodes, a clustering-based ECC-GKA) algorithm is proposed, suitable for drones' ad hoc networks. Finally, the ECC-GKA algorithm is simulated to analyze the accuracy and security of a drone network. The results reveal that the data transmission rate of the proposed algorithm is 97.22 percent, which is at least 3.61 percent higher than other key agreement algorithms, and even 22.30 percent higher than that of the traditional ElGamal key agreement protocol. In terms of security, it is found that each algorithm converges to a certain constant after 40 iterations, and it is obvious that the average security rate of the proposed ECC-GKA protocol is the largest, which is 1.29 b/s/Hz.; flight speed has no obvious effect on the average security rate. Meanwhile, under the same number of members, the key agreement time of the ECC-GKA algorithm is shorter. Hence, the constructed ECC-GKA protocol is better in data transmission accuracy and security rate, and the time required is shorter. It further improves the network security performance of drones, and provides a reference basis for improving drone system performance in the later stage.
Published in: IEEE Internet of Things Magazine ( Volume: 4, Issue: 4, December 2021)