Dynamic graph neural network-based framework to increase detection accuracy in SDN under DDOS. [PDF]
Kalafy SAA, Pashazadeh S, Salehpour P.
europepmc +1 more source
Ensemble-based detection of distributed denial-of-service attacks in IoT networks using majority decision mechanisms. [PDF]
Cheng S, Feng X.
europepmc +1 more source
A hybrid blockchain based deep learning model for multivector attack detection in internet of things enabled healthcare systems. [PDF]
Sengan S, Shieh CS, Horng MF.
europepmc +1 more source
Mitigating distributed denial of service attacks using attribute subset selection with temporal convolutional networks. [PDF]
Alamro H +7 more
europepmc +1 more source
Design of an AI-driven secure 5G-SDN framework with federated reinforcement learning for anomaly detection, mitigation, and attack forensics. [PDF]
Shameli R, Rajkumar S.
europepmc +1 more source
A deep reinforcement based echo state network for network intrusion classification. [PDF]
Alam K, Bhuiyan MH, Farid DM.
europepmc +1 more source
Modelling of hybrid deep learning framework with recursive feature elimination for distributed denial of service attack detection systems. [PDF]
Alkhliwi S.
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Datasets for distributed denial-of-service detection in healthcare internet of things environments. [PDF]
Akhi M, Eising C, Dhirani LL.
europepmc +1 more source
Correction: Kaur, N.; Gupta, L. Securing the 6G-IoT Environment: A Framework for Enhancing Transparency in Artificial Intelligence Decision-Making Through Explainable Artificial Intelligence. <i>Sensors</i> 2025, <i>25</i>, 854. [PDF]
Kaur N, Gupta L.
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A drift-aware RS2FS pipeline with confidence gating for IDS. [PDF]
Sakthivel G, Kumarasamy AK.
europepmc +1 more source

