SQL Information Flow Reasoning for Injection-Resistant Queries
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Injection attacks pose a security concern in database queries, allowing malicious actors to manipulate query structures for unauthorized access, compromising data integrity and confidentiality.
Innovation Solution
Implement compositional reasoning of information flow in structured query language (SQL) by defining policy scopes through policy tuples extracted from policy queries, comparing runtime tuples from user queries to these policy tuples to determine access permissions, and executing queries only within the defined policy scope.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional query execution is allowed without restrictions, then query processing speed and user experience are improved, but security vulnerabilities to injection attacks increase
Solution Approach 1:
The system performs preliminary analysis of query structure and information flow before execution. Policy tuples are extracted and validated against runtime tuples in advance, establishing security constraints that are checked before the query accesses the database, thus preventing injection attacks while allowing legitimate queries to proceed efficiently
Solution Approach 2:
The patent introduces an intermediary security checking mechanism that sits between the query execution engine and the database. This intermediary extracts runtime tuples from incoming queries, compares them against policy tuples, and only permits execution when the runtime scope is within the policy scope, thus mediating between security requirements and query processing
2Reliability
If strict access policies are enforced to prevent injection attacks, then data security is improved, but user convenience and operation ease deteriorate
Solution Approach 1:
The system automatically extracts runtime tuples from incoming queries and performs self-validation against policy tuples without requiring user intervention. The security checking mechanism operates autonomously, transparently enforcing access policies while maintaining user convenience by eliminating the need for manual security configuration or user awareness of security constraints
3Reliability
If comprehensive query analysis is performed to ensure security, then protection against injection attacks is improved, but system complexity increases
Solution Approach 1:
The patent segments the query analysis process into distinct components: extraction of runtime tuples, extraction of policy tuples, comparison logic, and execution control. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining comprehensive security checking
Solution Approach 2:
The system changes the parameter representation from raw query strings to structured tuple formats (runtime tuples and policy tuples). This parameter transformation simplifies the comparison operation and makes the security checking process more manageable, reducing system complexity while enabling thorough analysis
Data Source
AI summary
A method implements compositional reasoning of information flow in scripted query language. The method includes gating access to a database using a policy that includes a policy scope defined by a set of policy tuples extracted from a set of policy queries. The method further includes preventing execution of a runtime query requesting access to the database. The method further includes extracting a set of runtime tuples from the runtime query and comparing the set of runtime tuples to the set of policy tuples to form an access determination identifying a runtime scope of the runtime query being within the policy scope of the policy. The method further includes executing the runtime query in response to the access determination.