Real-time fusion multi-tier DNN-based collaborative IDPS with complementary features for secure UAV-enabled 6G networks

Author:

Hadi Hassan JalilORCID,Cao YueORCID,Li SifanORCID,Xu LexiORCID,Hu YulinORCID,Li Mingxin

Funder

European Commission

Wuhan Science and Technology Bureau

Hubei Province Science and Technology Program

Publisher

Elsevier BV

Reference60 articles.

1. High-performance intrusion detection system for networked UAVs via deep learning;Abu Al-Haija;Neural Computing and Applications,2022

2. Intelligent self-reliant cyber-attacks detection and classification system for IoT communication using deep convolutional neural network;Al-Haija,2021

3. Machine learning-based delay-aware UAV detection and operation mode identification over encrypted Wi-Fi traffic;Alipour-Fanid;IEEE Transactions on Information Forensics and Security,2019

4. Idsoft: A federated and softwarized intrusion detection framework for massive internet of things in 6G network;Alotaibi;Journal of King Saud University-Computer and Information Sciences,2023

5. Detecting signal spoofing and jamming attacks in UAV networks using a lightweight IDS;Arthur,2019

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