The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 10, 2020

Filed:

Jan. 10, 2017
Applicant:

Crowdstrike, Inc., Irvine, CA (US);

Inventors:

Sven Krasser, Los Angeles, CA (US);

David Elkind, Arlington, VA (US);

Patrick Crenshaw, Atlanta, GA (US);

Brett Meyer, Alpharetta, GA (US);

Assignee:

CrowdStrike, Inc., Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 99/00 (2019.01); H04N 21/44 (2011.01); G06N 3/08 (2006.01); G06F 9/00 (2006.01); G06T 5/20 (2006.01); G06N 20/00 (2019.01); H04L 12/24 (2006.01); H04L 29/06 (2006.01); G06F 21/56 (2013.01); G06N 3/04 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 21/56 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 20/10 (2019.01); H04L 41/145 (2013.01); H04L 41/147 (2013.01); H04L 63/1416 (2013.01);
Abstract

Example techniques described herein determine a signature or classification of a data stream such as a file. The classification can indicate whether the data stream is associated with malware. A processor can locate training analysis regions of training data streams based on predetermined structure data, and determining training model inputs based on the training analysis regions. The processor can determine a computational model based on the training model inputs. The computational model can receive an input vector and provide a corresponding feature vector. The processor can then locate a trial analysis region of a trial data stream based on the predetermined structure data and determine a trial model input. The processor can operate the computational model based on the trial model input to provide a trial feature vector, e.g., a signature. The processor can operate a second computational model to provide a classification based on the signature.


Find Patent Forward Citations

Loading…