Invention Grant
- Patent Title: Confidentiality of files using file vectorization and machine learning
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Application No.: US13743971Application Date: 2013-01-17
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Publication No.: US10354187B2Publication Date: 2019-07-16
- Inventor: Kas Kasravi , James C. Cooper
- Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Applicant Address: US TX Houston
- Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee Address: US TX Houston
- Agent Fabian VanCott
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F16/35 ; G06F21/62

Abstract:
A method for confidentiality classification of files includes vectorizing a file to reduce the file to a single structured representation; and analyzing the single structured representation with a machine learning engine that generates a confidentiality classification for the file based on previous training. A system for confidentiality classification of files includes a file vectorization engine to vectorize a file to reduce the file to a single structured representation; and a machine learning engine to receive the single structured representation of the file and generate a confidentiality classification for the file based on previous training.
Public/Granted literature
- US20140201111A1 CONFIDENTIALITY CLASSIFICATION OF FILES Public/Granted day:2014-07-17
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