AI-Driven Cybersecurity in IoT: Adaptive Malware Detection and Lightweight Encryption via TRIM-SEC Framework. [PDF]
Mutambik I.
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Adaptive malware identification via integrated SimCLR and GRU networks. [PDF]
Alsubaei FS +5 more
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Detection of unseen malware threats using generative adversarial networks and deep learning models. [PDF]
Joshi C, Kumar J, Kumawat G.
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Scalable architecture for autonomous malware detection and defense in software-defined networks using federated learning approaches. [PDF]
Ranpara R +3 more
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Metadata driven malicious URL detection using RoBERTa large and multi source network threat intelligence. [PDF]
Chen L, Meng L.
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Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data. [PDF]
Naseer M +6 more
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Latent topic-driven cyber intelligence model for tactics, techniques, and procedures (TTPs) detection using hybrid framework and Birch-inspired optimisation. [PDF]
Alanazi MM, Wahab AWA, Idris MYI.
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Tackling fraud detection with an enhanced Kepler optimization and ghost opposition-based learning. [PDF]
Egami RH +3 more
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ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms. [PDF]
Tayyab UE +5 more
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Ranking-enhanced anomaly detection using Active Learning-assisted Attention Adversarial Dual AutoEncoder. [PDF]
Benabderrahmane S, Cheney J, Rahwan T.
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