Invention Grant
US08688601B2 Systems and methods for generating machine learning-based classifiers for detecting specific categories of sensitive information
有权
用于生成基于机器学习的分类器的系统和方法,用于检测特定类别的敏感信息
- Patent Title: Systems and methods for generating machine learning-based classifiers for detecting specific categories of sensitive information
- Patent Title (中): 用于生成基于机器学习的分类器的系统和方法,用于检测特定类别的敏感信息
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Application No.: US13191018Application Date: 2011-07-26
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Publication No.: US08688601B2Publication Date: 2014-04-01
- Inventor: Sumesh Jaiswal
- Applicant: Sumesh Jaiswal
- Applicant Address: US CA Mountain View
- Assignee: Symantec Corporation
- Current Assignee: Symantec Corporation
- Current Assignee Address: US CA Mountain View
- Agency: ALG Intellectual Property, LLC
- Priority: IN706/KOL/2011 20110523
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
A computer-implemented method may include (1) identifying a plurality of specific categories of sensitive information to be protected by a DLP system, (2) obtaining a training data set for each specific category of sensitive information that includes a plurality of positive and a plurality of negative examples of the specific category of sensitive information, (3) using machine learning to train, based on an analysis of the training data sets, at least one machine learning-based classifier that is capable of detecting items of data that contain one or more of the plurality of specific categories of sensitive information, and then (4) deploying the machine learning-based classifier within the DLP system to enable the DLP system to detect and protect items of data that contain one or more of the plurality of specific categories of sensitive information in accordance with at least one DLP policy of the DLP system.
Public/Granted literature
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