SQL Policy Revision via Clause Hyperlinks
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Solution Overview
Problem
Existing database management systems lack an intuitive and user-friendly method for dynamically managing and revising access policies for relational databases, particularly in handling and modifying Structured Query Language (SQL) statements, which can lead to security issues and inefficiencies in data access control.
Innovation Solution
A system and method that parses SQL statements into grammatical clauses, allowing users to interactively modify these clauses through a graphical user interface (GUI) with hyperlinks, enabling the creation of new rules that can be applied universally to other SQL statements, thereby revising access policies dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional database management systems are used for managing SQL statements, then data access control can be maintained, but the system lacks user-friendliness and requires subject matter expertise for policy revision
Solution Approach 1:
The patent introduces a natural language processing intermediary that translates user-friendly natural language policy descriptions into formal SQL access control rules. This mediator layer allows non-expert users to interact with the system using everyday language while the underlying complex SQL policies are automatically generated and managed, resolving the contradiction between ease of operation and system complexity
Solution Approach 2:
The system enables automatic policy generation and revision through natural language processing, allowing users to create and update access control policies without requiring expert knowledge of SQL or database management. The system serves itself by automatically translating user intent into technical policy rules, eliminating the need for manual policy configuration by experts
2Productivity
If traditional database management systems are used for managing SQL statements, then data access control can be maintained, but dynamic policy revision is inefficient and requires manual intervention
Solution Approach 1:
The system performs preliminary action by pre-processing natural language policy descriptions and automatically generating the corresponding SQL access control rules before they are needed for execution. This advance preparation allows policies to be rapidly revised and deployed without manual intervention, significantly improving productivity and reducing the time required for policy changes
Solution Approach 2:
The patent replaces the manual mechanical process of policy revision with an automated natural language processing system. Instead of requiring users to manually edit SQL statements and configure access control policies, the system automatically translates natural language descriptions into executable policies, dramatically reducing revision time and improving efficiency
3Adaptability or versatility
If expert-level knowledge is required for policy management, then precise control over SQL statements can be achieved, but the system becomes inaccessible to non-expert users
Solution Approach 1:
The natural language processing intermediary preserves precision by accurately translating user intent from natural language into formally correct SQL access control policies. The mediator ensures that no information is lost in translation by maintaining the semantic equivalence between user-friendly descriptions and technical policy rules, allowing non-experts to achieve precise control without requiring expert knowledge
4Reliability
If manual policy revision is used, then security constraints can be carefully reviewed, but the process is time-consuming and inefficient
Solution Approach 1:
The system incorporates feedback mechanisms that automatically validate generated policies against security constraints and provide verification to users. The natural language processing system includes built-in checks that ensure security requirements are met while policies are being generated, providing immediate feedback on policy validity without requiring manual review, thus maintaining reliability while improving productivity
Data Source
AI summary
A method, system, and/or computer program product revises a policy that provides rules on how to alter statements to access or manipulate data in a database. A user interface (UI) has a field containing a sample database query statement. The sample database query statement is parsed into clauses, where each clause depicts a specific type of grammatical structure. A different hyperlink is associated with each of the clauses. In response to receiving a signal activating a particular hyperlink for a particular clause, change options, for the particular clause, are presented from a resource that presents change options for the specific type of grammatical structure. User-selected changes to the particular clause are incorporated into a new rule, which causes a clause of the particular type of grammatical structure in any database query statement to be changed. Each change becomes a new rule in a revised policy.