Enhancing security in IoMT using federated TinyGAN for lightweight and accurate malware detection. [PDF]
S D, Shankar MG, Daniel E, R BGV.
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Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]
Saeed NH +3 more
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BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction. [PDF]
Mishra S, Alfahidah RA, Alharbi F.
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Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]
Anuradha A, Chouhan AS, Srinivas Rao S.
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Artificial neural network analysis of a fractional cyber-epidemic model in wireless sensors under the proportional Hadamard-Caputo operator. [PDF]
Barakat MA +5 more
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A bio inspired hybrid optimization framework for efficient real time malware detection. [PDF]
Abualhaj MM +7 more
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A distributed framework for zero-day malware detection using federated ensemble models. [PDF]
Ishfaq H, Shah JH, Saleem R, Afzal M.
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A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]
Abed Alsaedi S +6 more
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MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]
Bragança H +4 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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