Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]
Sensors (Basel)Maghanaki M +3 more
europepmc +1 more source
Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm. [PDF]
PeerJ Comput SciElwahsh H +7 more
europepmc +1 more source
Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices. [PDF]
Sensors (Basel)Inoue H, Komura T, Hashimoto I.
europepmc +1 more source
HDCI Net for interpretable cross domain intrusion detection in 6G IoT and critical infrastructure networks. [PDF]
Sci RepQashlan A.
europepmc +1 more source
Generative Adversarial Networks for Intrusion Detection Systems: A Comprehensive Survey of Applications, Challenges, and Research Directions. [PDF]
Arab J Sci EngAlauthman M +4 more
europepmc +1 more source
An integrated evolution-aware meta-learning framework with adversarial morphological augmentation for zero-day threat detections. [PDF]
Front Artif IntellLanka K, Shaik K.
europepmc +1 more source
A Novel Architecture for Mitigating Botnet Threats in AI-Powered IoT Environments. [PDF]
Sensors (Basel)Memos VA +4 more
europepmc +1 more source
Fed-DTCN: A Federated Disentangled Learning Framework for Unsupervised Zero-Day Anomaly Detection in IoT with Semantic-Aware Augmentation. [PDF]
Sensors (Basel)Khan MA, Khalid O, Rais RNB.
europepmc +1 more source
An efficient data driven framework for intrusion detection in wireless sensor networks using deep learning. [PDF]
Sci RepSinha P +6 more
europepmc +1 more source
Combination of quantum-based optimizer and feature pyramid network for intrusion detection in Cloud-IoT environments. [PDF]
Sci RepHajlaoui R +3 more
europepmc +1 more source