SYSTEM AND METHOD FOR ACTIVATING A RENDERING DEVICE IN A MULTI-LEVEL RIGHTS-MANAGEMENT ARCHITECTURE

Patent №

US 7,017,189

Granted

2006-03-21

Filed 2000

Owner

MICROSOFT CORPORATION

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09604564

A digital rights management system for the distribution, protection and use of electronic content. The system includes a client architecture which receives content, where the content is preferably protected by encryption and may include a license and individualization features. Content is protected at several levels, including: no protection; source-sealed; individually-sealed (or “inscribed”); source-signed; and filly-individualized (or “owner exclusive”). The client also includes and/or receives components which permit the access and protection of the encrypted content, as well as components that allow content to be provided to the client in a form that is individualized for the client. In some cases, access to the content will be governed by a rights construct defined in the license bound to the content. The client components include an object which accesses encrypted content, an object that parses the license and enforces the rights in the license, an object which obtains protection software and data that is individualized for the client and/or the persona operating the client, and a script of instructions that provides individualization information to a distributor of content so that the content may be individualized for the client and/or its operating persona. Content is generally protected by encrypting it with a key and then sealing the key into the content in a way that binds it to the meta-data associated with the content. In some instances, the key may also be encrypted in such a way as to be accessible only by the use of individualized protection software installed on the client, thereby binding use of the content to a particular client or set of clients.

Knowledge representationG06F 21/1011G06F 21/109G06F 21/16G06F 2221/2117

AI classification

Knowledge representation0.79
AI hardware0.04
Natural language0.00
Vision0.00
Evolutionary computation0.00
Machine learning0.00
Speech0.00
Planning0.00

Ownership

MICROSOFT CORPORATION

assignment · 112150113

Assignors

DEMELLO, MARCO A., NARIN, ATTILA, SETTY, VENKATESHAIAH, ZEMAN, PAVEL, KRISHNASWAMY, VINAY, MANFERDELLI, JOHN L., BYRUM, FRANK D., KEELY, LEROY B., YAACOVI, YORAM, ALGER, JEFFREY A.

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

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