Behavioral Trait Digital Rights Management System
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Solution Overview
Problem
Conventional digital rights management techniques are rigid and inflexible, unable to adapt to changing user behaviors, limiting content usability and distribution.
Innovation Solution
Implementing a digital rights management system that embeds a policy specifying behavioral traits, allowing access to content based on user interactions and analytics data, enabling dynamic control of content access according to user characteristics such as age, gender, and geographic location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional digital rights management techniques are used, then content access control is established, but the system becomes rigid and inflexible, unable to adapt to changing user behaviors
Solution Approach 1:
The patent implements a dynamic digital rights management system that transitions from static access control to dynamic behavior-based control. The system continuously monitors user behavior patterns and adjusts access rights in real-time based on observed traits, enabling the DRM system to adapt to changing user behaviors without requiring manual reconfiguration or content updates.
Solution Approach 2:
The system changes the parameters of access control from fixed credentials to dynamic behavioral parameters. Instead of relying solely on static user identifiers and passwords, the system evaluates multiple behavioral parameters (usage patterns, device characteristics, interaction modes) to determine access rights, allowing flexible adaptation to evolving user behaviors while maintaining security.
2Adaptability or versatility
If conventional digital rights management techniques are used, then access control is implemented, but content usability is limited due to inability to address changes in content consumption
Solution Approach 1:
The system incorporates continuous feedback loops that monitor user interaction with content and adjust access rights accordingly. By analyzing real-time feedback from user behavior patterns, the system can dynamically modify content availability, usage permissions, and access controls to better match current user needs and consumption patterns, thereby enhancing content usability without complicating user interaction.
3Reliability
If behavioral traits are used for access control, then authentication is enhanced, but system complexity increases
Solution Approach 1:
The system employs a universal behavioral analysis framework that can evaluate multiple types of user behaviors (navigation patterns, interaction timing, device usage characteristics) through a single integrated mechanism. This multi-functional approach strengthens authentication by considering diverse behavioral indicators while avoiding the need for separate complex authentication systems for each behavior type, thus managing overall system complexity.
Data Source
AI summary
Digital rights management and behavioral trait techniques are described. In one or more implementations, a method is described of specifying and controlling access to content to be created. Data is received, by one or more computing devices. The data describes characteristics of the content to be created along with a digital rights management policy specifying traits of a behavior to be met by a user in order to access one or more portions of the content. The content is created, based at least in part on the received characteristics, as specified by a user interacting with the one or more computing devices. The digital rights management policy is embedded as part of the created content by the one or more computing devices as a digital rights management module to control access to the one or more portions of the content based on whether the traits are met by a user that requests the access.