Systems and methods for malware detection using localized machine learning

The disclosed computer-implemented method for malware detection using localized machine learning may include (i) generating a global score for a file using a global machine learning model, (ii) generating a localized score for the file using a localized machine learning model, (iii) determining that...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Cheng, Tao, Lan, Qichao
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:The disclosed computer-implemented method for malware detection using localized machine learning may include (i) generating a global score for a file using a global machine learning model, (ii) generating a localized score for the file using a localized machine learning model, (iii) determining that the file is malware using the global score, the localized score, and the local conviction threshold, and (iv) in response to determining that the file is malware, performing a security action to protect the computing device against malware. Various other methods, systems, and computer-readable media are also disclosed.