Machine learning based approach to intrusion detection in internet of things environments. [PDF]
Akinbowale OE +3 more
europepmc +1 more source
A Survey of Emerging DDoS Threats in New Power Systems. [PDF]
Luo F, Fan S, Shao G.
europepmc +1 more source
A Comprehensive and Unified Survey on Blockchain-Enabled SDN Cybersecurity: Industry Use Cases, Threat Landscapes, Defense Architectures, and Open Challenges. [PDF]
Dudukcu D +4 more
europepmc +1 more source
Cloud-based DDoS detection using hybrid feature selection with deep reinforcement learning (DRL). [PDF]
Satpathy S, Tripathy U, Swain PK.
europepmc +1 more source
SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems. [PDF]
Fatima M, Rehman O, Jhanjhi NZ, Ali S.
europepmc +1 more source
Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks. [PDF]
Kamal H, Haikal AY, Saafan MM.
europepmc +1 more source
Quantum-resilient cross-trust evaluation for zero trust 5G security. [PDF]
Jeysuriya K, Renjith PN, Sudhakaran G.
europepmc +1 more source
Hybrid Ant-Baby Optimizer and BiLSTM framework for high-performance IoT intrusion detection. [PDF]
Balakrishnan A, Maddikunta PKR.
europepmc +1 more source
An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization. [PDF]
Saykat MTH +5 more
europepmc +1 more source

