An integrated evolution-aware meta-learning framework with adversarial morphological augmentation for zero-day threat detections. [PDF]
Front Artif IntellLanka K, Shaik K.
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Mobile malware detection method using improved GhostNetV2 with image enhancement technique. [PDF]
Sci RepDu Y +5 more
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Malware detection in IoT networks with CNNs and integrated feature engineering. [PDF]
Sci RepAbd-Ellah MK +3 more
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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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Malware Detection Using RNA Encoding and Convolutional Neural Networks on the Malicious Network Dataset. [PDF]
F1000ResFitian Rashid O +2 more
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BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices. [PDF]
PeerJ Comput SciŞafak E +3 more
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Ensemble machine learning for proactive android ransomware detection using network traffic. [PDF]
Sci RepKirubavathi G +6 more
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Advanced behavioral malware detection: a comprehensive MLOps framework with federated learning and real-time drift detection. [PDF]
Front Artif IntellEl-Hajj M, Zeineddine MAJ.
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Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms. [PDF]
Sci RepAlohali MA +7 more
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GEAAD: generating evasive adversarial attacks against android malware defense. [PDF]
Sci RepAhmad N +6 more
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