An Intrusion Detection Model for Drone Communication Network in SDN Environment

• Published in: Drones (Basel) Vol. 6; no. 11; p. 342
• Main Authors: Kou, Liang, Ding, Shanshuo, Wu, Ting, Dong, Wei, Yin, Yuyu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2022
• Subjects: abnormal detection; Accuracy; Algorithms; Alliances; Artificial neural networks; Coders; Communication; Communication networks; Communications networks; Convergence; convolutional neural networks; Cybersecurity; Data security; Datasets; deep auto-encoder; Deep learning; Denial of service attacks; Drone aircraft; drones; Efficiency; Feature extraction; Intrusion detection systems; Machine learning; Methods; Model accuracy; Neural networks; software defined network; Software-defined networking; Support vector machines; Traffic models; Virtual private networks; China

Drone communication is currently a hot topic of research, and the use of drones can easily set up communication networks in areas with complex terrain or areas subject to disasters and has broad application prospects. One of the many challenges currently facing drone communication is the communicati...