Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]
Front Artif IntellAlabdullah B, Sankaranarayanan S.
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In-Memory Shellcode Runner Detection in Internet of Things (IoT) Networks: A Lightweight Behavioral and Semantic Analysis Framework. [PDF]
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Deep Learning Applications in Cybersecurity: Enhancing Intrusion Detection and Malware Analysis
Jing Zhang, Xiaoyan Hou
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A malware detection method with function parameters encoding and function dependency modeling. [PDF]
PeerJ Comput SciHou R, Liu D, Jin X, Weng J, Geng G.
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GSIDroid: A Suspicious Subgraph-Driven and Interpretable Android Malware Detection System. [PDF]
Sensors (Basel)Huang H, Huang W, Jiang F.
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Hybrid Android Malware Detection and Classification Using Deep Neural Networks [PDF]
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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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Information-based dependency matching for behavioral malware analysis
, 2012 Lars Arne Sand
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Multimodal malware classification using proposed ensemble deep neural network framework. [PDF]
Sci RepNazim S +5 more
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