Distributed Data Storage via Randomized Dissection
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Solution Overview
Problem
Current social networking platforms fail to effectively manage diverse types of relationships, provide adequate security and privacy for user data, enhance user experience, facilitate efficient transactions, and offer balanced incentives and advertising targeting, while also ensuring secure data storage and access control.
Innovation Solution
A social networking system that allows users to create and manage relationships through 'Key Phrases' for different levels of interaction, utilizes multiple independent data centers for secure data storage, employs misinformation to protect privacy, and integrates smart appliances for efficient shopping, while providing an enhanced user interface and dashboard for tracking activities and advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single social media company stores and controls user private content, then data access and management is simplified, but user security and privacy are compromised
Solution Approach 1:
The patent segments user data into multiple encrypted portions and distributes them across multiple independent data centers. Each data center holds only a fragment of the complete data, making it impossible for any single entity to access full user information. This segmentation resolves the contradiction by maintaining simplified access through the social networking system while enhancing security through distributed storage.
Solution Approach 2:
The patent introduces an intermediary encryption layer and key management system that mediates between users and data centers. Encryption keys are distributed separately from data, and access requires coordinated authorization. This intermediary mechanism allows the social networking system to manage data access efficiently while preventing unauthorized access by any single data center or company employee.
2Reliability
If user data is distributed across multiple independent data centers, then security and privacy are enhanced, but system complexity increases
Solution Approach 1:
The patent implements a universal data management interface and standardized encryption protocol that works across all data centers. The social networking system maintains a unified view of distributed data through consistent access patterns and key management procedures. This universality allows multiple data centers to function as a cohesive system, reducing the perceived complexity despite physical distribution.
Solution Approach 2:
The patent creates encrypted copies of user data fragments and distributes them across multiple data centers. Each copy is mathematically equivalent in security properties but physically separate. This copying approach maintains data availability and security without requiring complex real-time synchronization, as each data center operates independently with its own encrypted fragments.
3Ease of operation
If complete user profiles are stored centrally, then advertising targeting is simplified, but user privacy is compromised
Solution Approach 1:
The patent applies different quality levels of data encryption and accessibility to different types of user information. Sensitive personal data is heavily encrypted and fragmented, while less sensitive demographic information may be more readily accessible for advertising purposes. This local quality differentiation allows effective advertising targeting on appropriate data while maintaining strong privacy protection for sensitive information.
Data Source
AI summary
A method of securely distributing and storing content may include receiving user content and identifying a number of storage servers that are configured to receive portions of the user content. The method may also include dissecting the user content into content portions for storage in the storage servers. The number of content portions may be selected to be equal to the identified number of storage servers, and the user content may be dissected into the content portions using a randomized dissection pattern. The method may additionally include transmitting each of the plurality of content portions to separate storage servers. Each of the storage servers may be independent from the transmitting computer system and from each other. Each of the storage servers may be operated according to a common protocol, such that each of the storage servers can store any of the content portions.