Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors.
Abstract not provided.
Verzi, Stephen↗
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Results for “Malware”
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Automatic Malware Signature Generation
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Woods, Jess↗
Synthetic Malware Generation to Improve Machine Learning-based Behavior Detection
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Smith, Michael Reed↗
Integrating multiple data sources for malware classification
Disclosed herein are representative embodiments of tools and techniques for classifying programs. According to one exemplary technique, at least one graph representation of at least one dynamic data source of at least one program is generated. Also, at least one graph representation of at least one static data source of the at least one program is generated. Additionally, at least using the at least one graph representation of the at least one dynamic data source and the at least one graph representation of the at least one static data source, the at least one program is classified.
97 MATHEMATICS AND COMPUTING↗
An Evaluation of Sequence Learning Methods for Detecting Malware Using System Call Traces.
Abstract not provided.
Ingram, Joey Burton↗
Advanced Malware and Nuclear Power: Past Present and Future.
Abstract not provided.
Lamb, Christopher↗
ADVANCED MALWARE AND NUCLEAR POWER: PAST PRESENT AND FUTURE.
Abstract not provided.
Lamb, Christopher↗
Dynamic Analysis of Executables to Detect and Characterized Malware.
Abstract not provided.
Smith, Michael Reed↗