Malware Detection Using Visualization Techniques [PDF]
Techniky strojového učení (ML) jsou v poslední době velmi populární v mnoha oblastech, včetně zpracování přirozeného jazyka, rozpoznávání hlasu/obrazu atd. Cílem této diplomové práce je vytvořit techniku detekce malwaru pomocí vizualizace obrazu.
Ihor Salov
core
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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RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]
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Validated and enriched Android application dataset: integration of VirusTotal and Quark-Engine intelligence. [PDF]
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A Survey on Visualization-Based Malware Detection
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Leveraging reinforcement learning for an efficient windows registry analysis during cyber incident response. [PDF]
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A deep learning-based IoT malware detection approach for electric vehicle charging stations. [PDF]
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Profiling and Visualizing Android Malware Datasets
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Enhancing IoT botnet detection with explainable ensemble learning. [PDF]
Front Big DataJoseph L, M S, M V.
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