Semantic Restriction Engine for Data Access Control
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Solution Overview
Problem
Current data sharing systems lack effective mechanisms to restrict access to data based on semantic limitations, allowing unauthorized use or modification of data views, and fail to track high-level operations, leading to potential misuse or exposure of confidential information.
Innovation Solution
A data sharing system comprising a trust engine, access engine, procedure engine, restriction engine, tracker engine, and control engine that utilize semantic restrictions to manage access and usage of data within a trusted environment, ensuring secure execution of procedures and tracking of operations to enforce access controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional access control mechanisms are used to manage data sharing, then basic access permissions can be controlled, but semantic restrictions on data usage cannot be enforced
Solution Approach 1:
The system segments access control into multiple independent engines: trust engine for entity verification, access engine for permission management, restriction engine for semantic constraint definition, and tracker engine for operation monitoring. Each engine handles a specific aspect of access control, enabling both basic permission management and advanced semantic restrictions through modular functionality.
Solution Approach 2:
The procedure engine acts as an intermediary that receives procedures from sharees, translates them into executable form, and enforces semantic restrictions before allowing data access. This intermediary layer ensures that both traditional access controls and semantic constraints are applied without direct exposure between data owners and data users.
2Adaptability or versatility
If data views are provided to sharees for access, then data sharing functionality is enabled, but tracking of high-level operations becomes difficult
Solution Approach 1:
The tracker engine continuously monitors procedure execution and generates trace information that feeds back to the control engine. This feedback mechanism enables real-time detection of high-level operations, allowing the system to track and audit data access patterns while maintaining full data sharing functionality.
Solution Approach 2:
The system performs preliminary translation of high-level procedures into tracked executable form before data access occurs. By pre-compiling procedures with embedded tracking instrumentation, the system enables operation tracking without modifying the data sharing interface or requiring changes to user procedures.
3Productivity
If access controls are enforced after data view generation, then data can be shared, but unauthorized use or modification cannot be prevented
Solution Approach 1:
Semantic restrictions are defined and enforced in advance through the restriction engine before data access occurs. The control engine validates procedures against these pre-defined constraints, preventing unauthorized operations before they can execute, rather than relying on post-access controls.
Solution Approach 2:
The system applies preliminary anti-action by blocking procedures that violate semantic restrictions before they can access or modify data. The control engine evaluates procedures against defined constraints and prevents execution of unauthorized operations, countering potential misuse before it occurs.
Data Source
AI summary
In one implementation, a data sharing system can comprise a trust engine to identify an environment that satisfies a level of trust, an access engine to request access to a set of data, a procedure engine to receive a procedure, a restriction engine to receive a semantic restriction associated with a semantic term of the environment, a tracker engine to track the procedure during execution, and a control engine to maintain execution of the procedure based on the restriction and trace information. In another implementation, a method for sharing a set of data can comprise validating an environment satisfies a level of trust, receiving a procedure to access the set of data, receiving a semantic restriction associated with a semantic term of the environment, tracing the procedure during execution, and providing a view of the set of data based on the restriction and a semantic mapping of trace information.