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:
May. 24, 2022

Filed:

Oct. 12, 2020
Applicant:

Zscaler, Inc., San Jose, CA (US);

Inventors:

Huihsin Tseng, Cupertino, CA (US);

Hao Xu, Palo Alto, CA (US);

Jian L. Zhen, Palo Alto, CA (US);

Assignee:

Zscaler, Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/56 (2013.01); G06N 20/00 (2019.01); G06N 5/00 (2006.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06F 21/566 (2013.01); G06N 5/003 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06F 2221/034 (2013.01);
Abstract

Disclosed is a computer implemented method for malware detection that analyses a file on a per packet basis. The method receives a packet of one or more packets associated a file, and converting a binary content associated with the packet into a digital representation and tokenizing plain text content associated with the packet. The method extracts one or more n-gram features, an entropy feature, and a domain feature from the converted content of the packet and applies a trained machine learning model to the one or more features extracted from the packet. The output of the machine learning method is a probability of maliciousness associated with the received packet. If the probability of maliciousness is above a threshold value, the method determines that the file associated with the received packet is malicious.


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