Dynamic Distributed Encryption for User Profile Security
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Solution Overview
Problem
Current systems for providing content to users lack the ability to deliver truly relevant information due to reliance on limited user data, leading to inappropriate recommendations and privacy concerns, with existing digital rights management techniques being static and proprietary, and user profile information being inaccessible and vulnerable to unauthorized access.
Innovation Solution
A profiling system that uses an analysis engine to securely manage and control electronic profiles, allowing users to authorize access to relevant content and services based on dynamic, aggregated profile data across multiple devices, with encryption and access control mechanisms ensuring privacy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If systems use limited user data for content delivery, then user privacy is protected, but the relevance and accuracy of recommendations deteriorates
Solution Approach 1:
The patent segments user profile information into multiple components stored across different systems and devices. Each segment contains only the information necessary for specific functions, preventing any single system from accessing complete user profiles. This segmentation allows improved recommendation accuracy through aggregated data while maintaining privacy by ensuring no single point of failure or exposure.
Solution Approach 2:
The patent introduces an intermediary profiling system that acts as a mediator between user devices and content delivery systems. This intermediary aggregates profile data from multiple sources, creates unified user profiles, and delivers recommendations without exposing raw user data to individual systems. The intermediary layer enables accurate recommendations while protecting user privacy through controlled access and data minimization.
2Measurement precision
If systems aggregate profile data across multiple sources, then recommendation accuracy improves, but security vulnerabilities and unauthorized access risks increase
Solution Approach 1:
The patent divides aggregated profile data into segmented components distributed across multiple storage locations and systems. Each segment contains only the information necessary for specific recommendation functions. This segmentation reduces security vulnerabilities by eliminating single points of failure and limiting the impact of potential breaches to specific data segments rather than complete user profiles.
Solution Approach 2:
The patent implements local quality by storing different types of profile information with different security characteristics and access controls. Sensitive information receives enhanced protection measures while less sensitive data is more readily accessible. This differentiated approach allows accurate recommendations through comprehensive data aggregation while applying appropriate security measures to each data type and location.
3Ease of manufacture
If conventional static DRM encryption is used, then content protection is simple to implement, but adaptability to different users and contexts deteriorates
Solution Approach 1:
The patent replaces static DRM encryption with dynamic encryption key management tied to user profiles and contextual information. Encryption keys are generated and managed based on user characteristics, device properties, and access conditions, allowing the same content to be encrypted differently for different users and contexts. This maintains implementation feasibility while dramatically improving content access flexibility and adaptability.
Solution Approach 2:
The patent changes encryption parameters dynamically based on user profile data and contextual factors. Different users receive different encryption keys or parameter sets for the same content, enabling personalized content protection and access control. This approach maintains the simplicity of conventional DRM infrastructure while adding adaptability through parameter variation based on aggregated profile information.
Data Source
AI summary
Security and distributed storage is described for systems using electronic profile information. Embodiments may be utilized for ID, data, and access analysis. Dynamic distributed redundant encryption may be used that may be based on user, device, location, context information, physical, or environmental characteristics. In one implementation, encrypted electronic profiles are stored on behalf of users by a profiling system, allowing user information within the electronic profiles to be accessed only by decryption of a portion of the electronic profile by the profiling system using distributed decryption codes.