INFERRING SECURITY POLICIES FROM SEMANTIC ATTRIBUTES

Patent №

US 9,769,208

Granted

2017-09-19

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

6

ml · nlp · vision · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14724012

Techniques for inferring security policies from semantic attributes are provided. In one aspect, a method for building a query component executable by a processor is provided. The method includes the steps of: (a) providing subjects and permissions related to making a security policy decision, as well as a training set of permission-to-subject assignments, as inputs to the security policy query component; (b) extracting semantic attributes from natural language freeform text descriptions of the subjects and the permissions; and (c) using machine learning to build the security policy query component based on the permission-to-subject assignments in the training set and the semantic attributes extracted in step (b).

AI classification

Natural language1.00
Planning1.00
Machine learning1.00
Speech0.99
Vision0.94
AI hardware0.66
Knowledge representation0.36
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 357350251

Assignors

CHARI, SURESH N., GATES, CHRISTOPHER, MOLLOY, IAN M.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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