Results 121 to 130 of about 40,714 (194)

Design of an AI-driven secure 5G-SDN framework with federated reinforcement learning for anomaly detection, mitigation, and attack forensics. [PDF]

Front Artif Intell
Shameli R, Rajkumar S.
europepmc   +1 more source

Cloud-based DDoS detection using hybrid feature selection with deep reinforcement learning (DRL). [PDF]

Sci Rep
Satpathy S, Tripathy U, Swain PK.
europepmc   +1 more source

Mitigating distributed denial of service-based cyberattack in federated computing framework using deep reinforcement learning with frilled lizard algorithm. [PDF]

Sci Rep
Maghrabi LA, Ragab M, Alghamdi B, Alorfi AS, Hamed D, Alharbi A, Al-Ghamdi AA.   +6 more
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]

Sensors (Basel)
Kaur N, Gupta L.
europepmc   +1 more source

Evaluating machine learning approaches for multiple attack classification with improved computational efficiency in IoT networks. [PDF]

Sci Rep
Alharby M.
europepmc   +1 more source

PSO-DT based BagDT: a robust lightweight ensemble framework for efficient feature selection and DDoS attack detection in IoT environment. [PDF]

Sci Rep
Shirley JJ, Priya M.
europepmc   +1 more source

Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]

Front Artif Intell
Alabdullah B, Sankaranarayanan S.
europepmc   +1 more source

Dynamic weight clustered federated learning for IoT DDoS attack detection. [PDF]

Sci Rep
Beshah YK, Abebe SL, Melaku HM.
europepmc   +1 more source

Designing a neuro-symbolic dual-model architecture for explainable and resilient intrusion detection in IoT networks. [PDF]

Sci Rep
Almadhor A, Alsubai S, Hejaili AA, Klai Z, Bouallegue B, Kovac U.   +5 more
europepmc   +1 more source