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Automated Hybrid Ransomware Family Classification
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由 GRM Dunca 著作 — This is a graphical user interface Windows application that extracts hybrid attributes from a specified portable executable file. Then it uses ...
Automated Hybrid Ransomware Family Classification
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Automated Hybrid Ransomware Family Classification. 411. tures from different areas of a file were needed. After. thorough research, a final selection of four ...
Automated Hybrid Ransomware Family Classification
ResearchGate
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To achieve balance between traditional feature extraction and the automated feature selection process, a hybrid bag of features (HBoF) is designed for ...
Deep hybrid approach with sequential feature extraction ...
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由 S Singh 著作2024被引用 2 次 — We have developed a multi-level feature extraction technique using deep learning architectures and a classification model to classify malware families.
A Hybrid Approach for Malware Family Classification
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This paper proposes a novel framework that can correctly classify known and in the wild malware samples into their families and can identify novel malware ...
(PDF) Triple-Layer Bayesian Euclidean Curve Algorithm for ...
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2024年10月13日 — The need for highly accurate, automated classification techniques has become paramount to combat the rapid evolution of ransomware. The Triple- ...
A Hybrid Approach for Malware Family Classification
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A novel framework that can correctly classify known and in the wild malware samples into their families and can identify novel malware samples ...
Image-based malware classification hybrid framework ...
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由 S O’Shaughnessy 著作2022被引用 34 次 — In this article, we present a hybrid framework for malware classification designed to overcome the challenges incurred by current approaches.
Automated Malware Detection and Classification Using ...
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由 RK Shahzad 著作2024被引用 2 次 — The primary objective of this thesis is to present state-of-the-art automated techniques for detecting and classifying malware using supervised learning ...
A Hybrid Analysis-Based Approach to Android Malware ...
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Android malware detection and family classification methods are divided into three main categories, namely, static analysis, dynamic analysis and hybrid ...