Iot Empowered Smart Cybersecurity Framework For Intrusion Detection In Internet Of Drones

This article examines the latest privacy and security challenges impacting the network of drones (NoD). It proposes a secure and fortified drone network to mitigate interception and intrusion risks by leveraging deep learning and machine learning techniques. The model was evaluated using well-known drones’ CICIDS2017 and KDDCup 99 datasets and achieved exceptional efficiency and robustness in NoD, specifically while applying B-LSTM and LSTM. The system attained precision values of 89.10% and 90.16%, accuracy rates up to 91.00-91.36%, recall values of 81.13% and 90.11%, and F-measure values of 88.11% and 90.19%.