Detecting Malware with Deep Generative Models

Features are extracted from an artifact so that a vector can be populated. The vector is then inputted into an anomaly detection model comprising a deep generative model to generate a first score. The first score can characterize the artifact as being malicious or benign to access, execute, or conti...

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Bibliographische Detailangaben

1. Verfasser:	Wojnowicz, Michael Thomas
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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