Artificial intelligence-driven cybersecurity system for internet of things using self-attention deep learning and metaheuristic algorithms. [PDF]
Alblehai F.
europepmc +1 more source
Secure IoT data dissemination with blockchain and transfer learning techniques. [PDF]
Anand P, Singh Y, Singh H.
europepmc +1 more source
A hybrid intrusion detection model based on dynamic spatial-temporal graph neural network in in-vehicle networks. [PDF]
Zhang J, Fan X, Zhao Z.
europepmc +1 more source
Mitigating distributed denial of service-based cyberattack in federated computing framework using deep reinforcement learning with frilled lizard algorithm. [PDF]
Maghrabi LA +6 more
europepmc +1 more source
Understanding phishing discussions on stack overflow and information security stack exchange. [PDF]
Althobaiti K, Tahaei M.
europepmc +1 more source
A novel deep learning framework with temporal attention convolutional networks for intrusion detection in IoT and IIoT networks. [PDF]
Ghosh KP +4 more
europepmc +1 more source
An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments. [PDF]
Alkhonaini MA.
europepmc +1 more source
EnDuSecFed: an ensemble approach for privacy preserving Federated Learning with dual-security framework for sustainable healthcare. [PDF]
Shrimali B +5 more
europepmc +1 more source
Adaptive personalized federated learning with lightweight depthwise convolutional bottleneck network for novel intrusion detection system in internet of vehicles. [PDF]
Almansour S +5 more
europepmc +1 more source
Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique. [PDF]
Mujahid M +4 more
europepmc +1 more source

