Anonymized Cloud Group Data Sharing for Privacy-Safe Content Tracking
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Solution Overview
Problem
Cloud-based data management platforms face challenges with data privacy, integrity, and scalability, leading to risks of data breaches, unauthorized usage, and inefficient resource utilization due to mistrust among participants, and inaccurate data affecting performance.
Innovation Solution
Integration of anonymized, member-driven cloud-based groups with content delivery services using distributed ledgers and permissioned blockchains, enabling secure data sharing and tracking content interactions at the group level without revealing individual member identities, with member-driven policies and smart contracts governing data access and transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If individual member information is collected for content delivery, then content delivery effectiveness is improved, but member identity privacy is compromised
Solution Approach 1:
The patent extracts only the necessary content interaction data from individual member information while deliberately excluding identifying details. Content delivery services receive anonymized data about content interactions, preferences, and behaviors without accessing personal identifiers, thus maintaining privacy while enabling effective content delivery.
Solution Approach 2:
The patent introduces an intermediary layer (anonymization system) between member data collection and content delivery services. This intermediary processes and anonymizes raw member information before passing it to content delivery systems, ensuring that effective content delivery can occur without exposing individual member identities.
2Adaptability or versatility
If data sharing is enabled among cloud participants, then system functionality is improved, but data security and trust are compromised
Solution Approach 1:
The patent segments data access permissions and controls information flow between different cloud participants. Different levels of data access are granted based on anonymization requirements and participant roles, allowing system functionality to improve through controlled data sharing while maintaining security through segmented access rights.
Solution Approach 2:
The patent employs intermediary mechanisms including anonymization systems and controlled data sharing protocols that mediate between data providers and consumers. These intermediaries enable enhanced system functionality through data exchange while preserving trust and security by preventing direct access to sensitive information.
3Productivity
If cloud-based groups are integrated with content delivery services, then data utilization efficiency is improved, but complexity of data management increases
Solution Approach 1:
The patent merges cloud-based group data with content delivery services through standardized integration protocols. By combining these systems with unified anonymization and data management approaches, the patent improves data utilization efficiency while managing complexity through consistent integration frameworks rather than disparate systems.
Solution Approach 2:
The patent creates universal data management protocols and standardized anonymization processes that work across different cloud-based groups and content delivery services. This multi-functional approach improves data utilization efficiency across the ecosystem while reducing management complexity through standardized, repeatable processes.
Data Source
AI summary
Techniques are described through which groups of individuals and/or other entities may interface with a data cloud blockchain network and/or cloud-based platform to collectively share data in a secure, controlled manner. Decentralized groups that are connected to the data cloud network may be registered and listed in a searchable directory. Entities that are interested in accessing data associated with a group may browse the directory, execute smart contracts within a blockchain, and track online content interactions of a group in a manner that does not compromise the anonymity of individual group members. Data usage and performance metrics may be tracked on the blockchain network using data cloud services, and the metrics may be written to distributed ledgers within the blockchain network. Smart contracts and chaincode within the network may initiate blockchain transactions based on performance metrics and/or other aspects associated with accessing information about a group.


