Personal Advisor for Automated Data Privacy Control
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Solution Overview
Problem
Users face difficulties in controlling their personal data privacy while interacting with websites, as current methods require significant user involvement and are often burdensome, leading to uncontrolled data sharing.
Innovation Solution
A system that generates user, resource, and context profiles to create rules for regulating data sharing, allowing automatic modification of outgoing data based on these profiles without user intervention, using a software advisor with a user profile manager, resource profile manager, context profile manager, and rule manager.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current software methods for controlling user data sharing are employed, then user privacy control is improved, but user burden and complexity increase significantly
Solution Approach 1:
The system enables self-service by having the advisor automatically generate user profiles, resource profiles, context profiles, and data sharing rules without requiring user input or intervention. The advisor monitors interactions, builds profiles, creates rules, and executes data filtering autonomously, allowing the system to serve itself rather than requiring continuous user involvement for privacy control
Solution Approach 2:
The system performs preliminary actions by proactively generating profiles and rules before data sharing occurs. The advisor continuously monitors interactions and builds profiles in advance, then uses these pre-generated profiles to automatically create and apply data sharing rules, enabling privacy control to be established before actual data exchange happens
2Reliability
If manual data control methods are used, then user privacy is protected, but user time and effort requirements increase
Solution Approach 1:
The advisor performs self-service by automatically executing all data control tasks including profile generation, rule creation, and data filtering without consuming user time. The system monitors interactions, builds profiles, generates rules, and applies filters autonomously, eliminating the need for users to invest time in manual privacy management
Solution Approach 2:
The system maintains continuous useful action by continuously monitoring user interactions, updating profiles, and applying data filtering rules in real-time without interruption. This ongoing automated operation ensures privacy protection is maintained continuously without requiring users to periodically check or intervene
3Extent of automation
If automated advisor system is implemented, then user privacy control is enhanced without user input, but system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the complex data control function into distinct modular components: user profile manager, resource profile manager, context profile manager, and rule manager. Each component handles a specific aspect of privacy control independently, making the overall complex system more manageable and maintainable through functional decomposition
Data Source
AI summary
Regulating a flow of data from an electronic device comprises generating a user profile associated with a user. Further, a resource profile is generated and is associated with one or more resources external to the electronic device. Additionally, a context profile is generated and describes an outcome of one or more previous interactions between the user of the electronic device and one or more resources. Rules are generated based on a comparison the user profile, the context profile and the site profile. Further, data sent from an electronic device is modified based on the set of rules.