Personal Edge Cloud Broker for Privacy-Preserving Service Personalization
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Solution Overview
Problem
Users face challenges in managing network interactions while protecting their personal information, as they often need to share data with multiple providers, leading to risks of data breaches and loss of control over their data, with existing solutions failing to provide personalized services without compromising user privacy.
Innovation Solution
A system utilizing a personal edge cloud that connects user devices to decentralized resources for data storage and analytics, allowing users to manage network interactions anonymously, process data locally, and receive personalized recommendations without sharing personal identifying information or payment details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users connect to multiple providers to receive personalized services, then service personalization is improved, but data security and user privacy are worsened
Solution Approach 1:
The patent introduces a broker as an intermediary component that mediates between users and multiple service providers. The broker manages user profiles, filters information requests, and controls data sharing permissions, allowing users to receive personalized services from multiple providers without directly exposing their personal information to each provider. This intermediary layer resolves the contradiction by enabling service personalization while maintaining data security through controlled information flow.
2Adaptability or versatility
If users share personal information with multiple providers, then personalized service quality is improved, but loss of information control is worsened
Solution Approach 1:
The patent implements feedback mechanisms where users can review, approve, and modify information sharing permissions through the broker interface. The system provides feedback about what information is being requested by providers, allows users to set preferences and boundaries, and enables dynamic adjustment of sharing rules. This feedback loop ensures users maintain control over their information while still receiving personalized services based on their preferences.
3Productivity
If centralized data storage is used for analytics, then data analysis capability is improved, but performance latency is worsened
Solution Approach 1:
The patent segments the data storage and processing architecture into distributed components rather than a single centralized repository. User data is stored locally on user devices or in distributed edge locations, with the broker facilitating selective data access for analytics. This segmentation reduces data transmission distances and enables local processing of analytics, thereby improving performance latency while maintaining data analysis capability through distributed computation.
Data Source
AI summary
Managing network interactions by engaging a networked information broadcast service, receiving information from the networked information broadcast service, filtering the information according to a profile, and sending information according to the filtered information using another network communications connection.