Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP. [PDF]
Raman R, Kumar R, Edwin Raj B, Akre V.
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Digital twin-assisted blockchain IoT security model using contrastive and causal learning techniques. [PDF]
Dutta AK +5 more
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An Integrated Zero-Trust and Real-Time Detection Scheme for DDoS Protection in 5G IoT Systems. [PDF]
Luo YY +4 more
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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.
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Harnessing multimodal deep representation with dimensionality reducing approach for enhanced intrusion detection system in internet of things networks. [PDF]
Priyadharshini K +6 more
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Secure federated learning with metaheuristic optimized dimensionality reduction and multi-head attention for DDoS attack mitigation. [PDF]
Alanazi AA +5 more
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RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]
Abd-Ellah MK +3 more
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Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]
Maghanaki M +3 more
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Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends. [PDF]
Komal A, Li S.
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BigFlow-NIDS: A large-scale dataset for network intrusion detection in big data environment. [PDF]
Uddin MB, Arefin MS, Hussain MMM.
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