17971200. Access decision management system for digital resources simplified abstract (Microsoft Technology Licensing, LLC)

From WikiPatents
Revision as of 06:32, 8 May 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Access decision management system for digital resources

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Darren Doyle of Wicklow (IE)

Terry Farrell of Dublin (IE)

Access decision management system for digital resources - A simplified explanation of the abstract

This abstract first appeared for US patent application 17971200 titled 'Access decision management system for digital resources

Simplified Explanation

The data processing system described in the abstract is designed to manage access to content items through a content access management platform using machine learning models. Here is a simplified explanation of the abstract:

  • Receiving access request from client device
  • Obtaining access control information
  • Analyzing information using machine learning model
  • Determining automatic access decision
  • Notifying content requestor of access decision
      1. Potential Applications:

- Digital content management systems - Secure data access control platforms

      1. Problems Solved:

- Ensuring secure access to content items - Automating access control decisions

      1. Benefits:

- Improved efficiency in managing content access - Enhanced security measures for sensitive content

      1. Potential Commercial Applications:
        1. Secure Content Access Management System

- Optimizing access control for digital content - Enhancing security protocols for content management platforms

      1. Possible Prior Art:

One possible prior art in this field is the use of traditional access control systems that rely on predefined rules and policies to grant or deny access to content items. However, the use of machine learning models to analyze access control information and make automatic access decisions represents a novel approach to content access management.

        1. Unanswered Questions:
        2. How does the system handle conflicting access control information?

The abstract does not provide details on how the system resolves conflicts in access control information when determining the access decision.

        1. What measures are in place to prevent unauthorized access to the machine learning model?

The abstract does not mention any specific security measures to protect the machine learning model from unauthorized access or tampering.


Original Abstract Submitted

A data processing system implements receiving an access request from the client device of a content requestor to access a content item for which access to the content item is managed by a content access management platform and obtaining access control information. The access control information comprising information associated with a content owner associated with the content item, information associated with the content requestor, and information associated with the content item. The system further implements analyzing the access control information using a first machine learning model trained to analyze the access control information and to output an access determination score, the access determination score representing a level of certainty that the content requestor should be granted access to the content item, determining an automatic access decision to grant or deny the access request based on the access determination score, and notifying the content requestor whether the access request has granted or denied based on the automatic access decision.