Patent · US Active

Incremental machine learning for data loss prevention

US8862522B1 · kind B1 · utility

23Cited by

5References

18Claims

0Family size

Assignee

Symantec Corporation · US

Inventors

Sumesh Jaiswal · Pune, IN
Ashish D. Aggarwal · Los Altos Hills, US
Phillip DiCorpo · San Francisco, US
Shitalkumar S. Sawant · Fremont, US
Sally Kauffman · Washington, US
Alan Dale Galindez · Menlo Park, US

Key dates

Filing date	Dec 14, 2011
Grant date	Oct 14, 2014
Priority date	—
Expiry date	Dec 19, 2032

Classification

Technology area (CPC H)Electricity
CPC primaryH04L63/20
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

A computing device receives a document that was incorrectly classified as sensitive data based on a machine learning-based detection (MLD) profile. The computing device modifies a training data set that was used to generate the MLD profile by adding the document to the training data set as a negative example of sensitive data to generate a modified training data set. The computing device then analyzes the modified training data set using machine learning to generate an updated MLD profile.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.