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US Patent 8196184 Efficient data structures for multi-dimensional security

Patent 8196184 was granted and assigned to Microsoft on June, 2012 by the United States Patent and Trademark Office.

Overview Structured Data Issues Contributors

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Patent attributes

Current Assignee

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Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

George Randell Dong1

Sanjay Jacob1

Anton Amirov1

Mark Xiahong Yang1

Rohan Ratnaker Shetty1

Date of Patent

June 5, 2012

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Patent Application Number

117076631

Date Filed

February 16, 2007

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Patent Citations Received

US Patent 12086815 Approaches for analyzing entity relationships

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US Patent 11663613 Approaches for analyzing entity relationships

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US Patent 11683394 Systems and methods for isolating applications associated with multiple tenants within a computing platform

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US Patent 11704441 Charter-based access controls for managing computer resources

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US Patent 11881939 System for authorization of electronic data access and processing functions within a distributed server network

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US Patent 11914687 Controlling access to computer resources

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US Patent 11943319 Systems and methods for isolating applications associated with multiple tenants within a computing platform

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US Patent 11956267 Systems for computer network security risk assessment including user compromise analysis associated with a network of devices

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Patent Primary Examiner

Vivek Srivastava

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Patent abstract

Efficient data structures are generated to enforce permissions on a multi-dimensional representation in a performance management application. A model site is generated having at least one model with at least one dimension. User permissions and group permissions are set for the model. The user permission and the group permissions are deployed to a relational database. A collective user permission table is generated based on the user permissions and the group permissions. Thus, an end user may receive permissions associated with a model and permissions associated with particular dimensions of a model without an inefficient consumption of resources.

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