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US Patent 10530787 Detecting malware attacks using extracted behavioral features

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10530787
Patent Inventor Names
Alexander Pyasik8
Tali Finelt8
Yakir Keisar8
Yifat Yulevich8
Ilan Prager8
Itai Gordon8
Oded Sofer8
Or Bar-Yaacov8
...
Date of Patent
January 7, 2020
Patent Application Number
15690668
Date Filed
August 30, 2017
Patent Citations Received
‌
US Patent 11303675 Containing compromised credentials using deception systems
‌
US Patent 11303545 Rate-limiting based on cardinality computation
3
‌
US Patent 12120149 Lateral movement facilitation of malicious attacks using honeypots
4
‌
US Patent 11989627 Automated machine learning pipeline generation
5
‌
US Patent 10749880 Cloud tenant oriented method and system for protecting privacy data
Patent Primary Examiner
‌
Evans Desrosiers
Patent abstract

Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.

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