Adaptive DRM Protection Levels for Dynamic Content Security
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Solution Overview
Problem
Conventional digital rights management (DRM) systems implement static protection levels for digital content, requiring manual intervention by administrators to change these levels, which limits flexibility and security in adapting to environmental conditions or user behavior.
Innovation Solution
A DRM system that allows administrators to define policies that automatically adapt protection levels based on evaluated conditions, including environmental factors and historical usage information, enabling dynamic adjustment of access controls without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static protection levels are used in DRM systems, then system simplicity and ease of operation are maintained, but adaptability to changing environmental conditions and user behavior deteriorates
Solution Approach 1:
The patent implements dynamic protection levels that automatically adjust based on evaluated conditions such as environmental factors and historical usage information. The system transitions from static to dynamic protection mechanisms, allowing the DRM system to adapt its security posture in real-time without requiring manual intervention or complex reconfiguration.
Solution Approach 2:
The system incorporates feedback mechanisms where protection levels are evaluated and adjusted based on monitored conditions. Historical usage information and environmental data provide feedback that triggers automatic protection level changes, enabling the system to learn from past behavior and respond to current conditions autonomously.
2Productivity
If manual intervention is required to change protection levels, then system control and security are maintained, but flexibility and response time to changing conditions deteriorate
Solution Approach 1:
The DRM system performs self-service by automatically evaluating conditions and adjusting protection levels without requiring administrator intervention. The system monitors its own environment and usage patterns, making autonomous decisions about protection level changes based on predefined policies and evaluated conditions.
Solution Approach 2:
The system prepares and evaluates protection level adjustments in advance based on monitored conditions. By continuously gathering historical usage information and environmental data, the system can proactively adjust protection levels before security threats materialize, improving response time and preparedness.
3Adaptability or versatility
If protection levels are manually adjusted, then administrative control is maintained, but flexibility in adapting to specific conditions deteriorates
Solution Approach 1:
The system automatically changes protection parameters based on evaluated conditions such as environmental factors and usage patterns. Instead of requiring manual reconfiguration, the system dynamically modifies protection level parameters in response to monitored conditions, enabling flexible adaptation while maintaining ease of operation through automation.
Data Source
AI summary
A DRM system is provided wherein a policy can be established such that the DRM system controls access to a protected content unit, wherein the policy evaluates a condition so that the DRM system adaptively varies the actions that a user is authorized to perform with the protected content unit in response to changes in the condition. The techniques described herein enable a protection level for a protected content unit to be varied in response to changes in one or more condition, such as environmental conditions and/or an historical usage conditions. The techniques described herein also enable a set of policies to be established for a DRM system such that the DRM system controls access to multiple protected content units in accordance with the set of policies. Pursuant to these policies, the DRM system can adaptively vary access to multiple protected content units in response to one or more conditions.