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:
Oct. 01, 2019

Filed:

Mar. 09, 2016
Applicant:

Symantec Corporation, Mountain View, CA (US);

Inventors:

Gyan Ranjan, Sunnyvale, CA (US);

Alok Tongaonkar, San Jose, CA (US);

Assignee:

Symantec Corporation, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 17/27 (2006.01); G06F 16/28 (2019.01); G06F 16/951 (2019.01); G06F 16/2455 (2019.01); H04L 12/26 (2006.01); H04L 12/813 (2013.01); H04L 29/08 (2006.01); G06F 21/53 (2013.01); G06F 21/56 (2013.01); H04L 12/28 (2006.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G06F 16/24568 (2019.01); G06F 16/951 (2019.01); G06F 21/53 (2013.01); G06F 21/567 (2013.01); H04L 43/062 (2013.01); H04L 47/20 (2013.01); H04L 63/0227 (2013.01); H04L 63/1416 (2013.01); H04L 67/02 (2013.01); G06F 17/2735 (2013.01); H04L 12/28 (2013.01);
Abstract

The disclosed computer-implemented method for automated classification of application network activity may include (1) building a lexicon dictionary that comprises lexical keywords, wherein network streams whose headers contain a given lexical keyword represent communications of an activity type that is associated with the given lexical keyword in the lexicon dictionary, (2) identifying, at a network vantage point, a network stream that represents a communication between an application and a server, (3) extracting, through a lexical analysis that utilizes the lexicon dictionary, a set of keywords from one or more header fields of the network stream, and (4) classifying the network stream based on activity types associated with each keyword in the set of keywords that were extracted from the header fields of the network stream. Various other methods, systems, and computer-readable media are also disclosed.


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