Hierarchical malware detection, family identification, and variant attribution using CNN-based hybrid models on grayscale executable images. [PDF]
Sci RepSaxena M, Das T.
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Malware Detection Using RNA Encoding and Convolutional Neural Networks on the Malicious Network Dataset. [PDF]
F1000ResFitian Rashid O +2 more
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Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]
Sci RepSaeed NH +3 more
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A Contrastive Dual-Task Framework for Few-Shot Traffic Classification in IoT Networks. [PDF]
Sensors (Basel)Lu Z, Chen M, Cui S, Zhao B, Zheng Y.
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A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]
Sci RepAbed Alsaedi S +6 more
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Enhancing internet of things intrusion detection through high-performance boosting ensemble learning. [PDF]
Sci RepYakovyna V, Fadieiev A.
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A distributed framework for zero-day malware detection using federated ensemble models. [PDF]
PLoS OneIshfaq H, Shah JH, Saleem R, Afzal M.
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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]
Sensors (Basel)Maghanaki M +3 more
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Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]
Sci RepAnuradha A, Chouhan AS, Srinivas Rao S.
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MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]
Sci DataBragança H +4 more
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