Automatic PQC Migration for Quantum-Vulnerable Applications
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Solution Overview
Problem
Existing methods for performing PQC migration on applications are resource-intensive and prone to errors, as they require manual analysis and modification of applications to address quantum vulnerability risks.
Innovation Solution
A method for automatically performing PQC migration on applications using a computing device, which involves determining quantum vulnerability, modifying source code, settings, or environment variables, and generating an execution file, thereby minimizing resource requirements and preventing operator-induced vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual PQC migration is performed by administrators, then quantum vulnerability can be addressed, but resource consumption and time required increase significantly
Solution Approach 1:
The system enables automatic self-service PQC migration where the platform autonomously detects quantum vulnerabilities, selects appropriate PQC algorithms, modifies source code, and generates updated container images without requiring manual intervention from administrators, thereby resolving the contradiction between reliable vulnerability response and migration efficiency
Solution Approach 2:
The system performs preliminary actions by pre-defining PQC migration strategies, algorithm selection criteria, and modification rules in advance. When vulnerabilities are detected, the system automatically applies pre-prepared migration plans, eliminating the need for real-time manual decision-making and significantly improving migration speed while maintaining security reliability
2Reliability
If manual PQC migration is performed, then quantum vulnerability can be addressed, but operator errors may cause unimproved applications to be distributed
Solution Approach 1:
The system implements feedback mechanisms that automatically verify PQC migration results by re-scanning modified applications for quantum vulnerabilities. The system provides feedback loops where migration actions are continuously monitored and validated, ensuring that only applications successfully migrated are deployed, thereby eliminating operator errors while maintaining high reliability
Solution Approach 2:
The system replaces manual mechanical operations with automated computer-based processes. Instead of administrators manually analyzing and modifying code, the system uses automated scripts, AI-based vulnerability detection, and programmatic container image generation, thereby eliminating human errors and improving operational reliability while maintaining secure vulnerability response
3Reliability
If comprehensive PQC migration is performed on all applications, then quantum vulnerability coverage increases, but resource consumption increases
Solution Approach 1:
The system applies local quality by selectively performing PQC migration only on specific applications or components that have been identified as having quantum vulnerabilities. Instead of uniformly treating all applications, the system focuses resources on vulnerable areas only, using vulnerability detection to determine the scope of migration and thereby reducing overall resource consumption while maintaining comprehensive coverage where needed
Data Source
AI summary
The present disclosure relates to a method, a device, a system, and a computer program for automatically performing PQC migration on an application, and more specifically, the present disclosure discloses a method for automatically performing PQC migration on an application using a computing device, the method including: determining whether or not a first application has quantum vulnerability on the basis of information about the first application, which is collected from an application distribution server configured to distribute source code of an application; modifying one or more of source code, settings, or environment variables for the first application, based on a result of the determination, by the application distribution server; and generating an execution file for the first application by reflecting the modified source code, settings, or environment variables.