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:
Apr. 21, 2015

Filed:

Dec. 14, 2011
Applicants:

Sumesh Jaiswal, Pune, IN;

Ashish Aggarwal, Pradesh, IN;

Phillip Dicorpo, San Francisco, CA (US);

Shitalkumar S. Sawant, Fremont, CA (US);

Sally Kauffman, Washington, DC (US);

Alan Dale Galindez, Menlo Park, CA (US);

Inventors:

Sumesh Jaiswal, Pune, IN;

Ashish Aggarwal, Pradesh, IN;

Phillip DiCorpo, San Francisco, CA (US);

Shitalkumar S. Sawant, Fremont, CA (US);

Sally Kauffman, Washington, DC (US);

Alan Dale Galindez, Menlo Park, CA (US);

Assignee:

Symantec Corporation, Mountian View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2006.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G06F 21/6227 (2013.01);
Abstract

A computing device receives a training data set that comprises a plurality of sensitive documents and a plurality of non-sensitive documents. The computing device determines a quality of the training data set. The quality may be determined using k-fold cross validation and/or latent semantic indexing. In response to determining that the training data set has a satisfactory quality, the computing device then analyzes the training data set using machine learning to train a machine learning-based detection (MLD) profile, the MLD profile to be used by a data loss prevention (DLP) system to classify new documents as sensitive documents or as non-sensitive documents.


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