Dynamic Access Control Rules for Personal Cloud Data
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Solution Overview
Problem
Current social networks lack dynamic and automated access control mechanisms that efficiently manage user data sharing based on changing relationships, requiring manual intervention for updating access permissions.
Innovation Solution
A system and method for dynamically assigning access control rules by automatically grouping contacts based on communication levels, using algorithms to define access levels and notify members of changes in data accessibility, thereby simplifying the management of user data sharing without constant user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual group definition and access permission assignment is implemented, then access control precision is improved, but user operation complexity and time consumption increase
Solution Approach 1:
The system automatically performs group classification and access permission assignment by analyzing communication data between users and their contacts. The algorithm independently determines group memberships and access levels without requiring manual user intervention, thereby maintaining precise access control while eliminating operational complexity for users.
Solution Approach 2:
The system dynamically adjusts access control parameters (group memberships, access permissions) based on changing communication patterns and relationship strength. As communication frequency and quality change, the system automatically reclassifies contacts into different groups and modifies access permissions accordingly, providing both precision and automation.
2Device complexity
If static access control rules are established, then system simplicity is improved, but adaptability to changing relationships deteriorates
Solution Approach 1:
The access control system transitions from static to dynamic by continuously monitoring communication data and automatically adjusting group classifications and permissions. The system adapts to changing relationships in real-time based on communication frequency, recency, and other relationship indicators, maintaining both simplicity for users and adaptability to changing conditions.
Solution Approach 2:
The system implements a feedback mechanism where communication data between users and contacts is continuously collected and analyzed. This feedback loop enables the system to automatically detect changes in relationship strength and adjust access control rules accordingly, providing adaptability while keeping the user interface simple.
3Ease of operation
If automated group assignment based on communication data is implemented, then ease of operation is improved, but loss of information about user intent increases
Solution Approach 1:
The system acts as an intermediary between raw communication data and access control decisions. It analyzes communication patterns objectively and translates them into meaningful group classifications and permissions, preserving user intent information by basing decisions on actual communication behavior rather than making arbitrary assignments.
Data Source
AI summary
A system and method are provided for sharing data of a user with contacts, the method comprising collecting the contacts from the user, collecting data related to the communications between the user and his contacts, and automatically grouping the contacts into different groups based on a level of communications between the user and the user's contacts, defining an access level for each group, with each access level granting access to some part of the user's data based on the access level. Advantageously, this permits a dynamic assignment of authority to access content that does not have to be actively managed by the user.