Quantum Key Distribution Network Resource Allocation by Security Level
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Solution Overview
Problem
Current quantum key distribution (QKD) networks face challenges with low network security and inefficient resource allocation, leading to increased economic costs and complexity due to the need for new quantum channels for service requests, without considering security requirement degrees of services.
Innovation Solution
A resource allocation method and system that optimizes security scores and minimizes wavelength and timeslot occupancy by categorizing service security levels and using a joint optimization integer linear programming model to allocate resources efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a new quantum channel is allocated for each service request, then network security is improved, but system cost and device complexity increase significantly
Solution Approach 1:
The patent segments quantum key resources by dividing them into different security levels (high security and low security). Service requests are categorized according to their security requirements, and appropriate quantum key resources are allocated based on this segmentation. This allows multiple services to share quantum key resources while maintaining security, rather than requiring separate quantum channels for each service.
Solution Approach 2:
The patent makes quantum key resources serve multiple functions by enabling different security-level quantum keys to be shared across multiple service requests. High-security quantum keys can protect both high-security and low-security services, while low-security quantum keys protect low-security services. This multi-functional usage reduces the total number of quantum channels needed.
2Reliability
If quantum key resources are allocated to each service request, then security is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent applies local quality by assigning different security levels to different quantum key resources based on the specific security requirements of service requests. High-security quantum keys are allocated to services requiring high security, while low-security quantum keys are allocated to services with lower security requirements. This localized quality matching improves overall resource utilization efficiency while maintaining appropriate security levels.
Solution Approach 2:
The patent changes the parameter of quantum key security levels by introducing a multi-level security classification system. Instead of using a single uniform security level for all quantum keys, the system varies the security level parameter according to service requirements, allowing more efficient resource allocation and improved productivity.
3Reliability
If security requirement degree is measured and considered for each service, then network security is improved, but allocation complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-classifying service requests into different security levels before resource allocation. The security requirement degree of each service is measured and categorized in advance, allowing the resource allocation process to simply match services with appropriate quantum key resources based on their classified security levels, rather than performing complex real-time security assessments during allocation.
Data Source
AI summary
The invention provides a resource allocation method and system in a quantum key distribution optical network. The method includes steps of: setting a topological structure of a quantum key distribution optical network, and initializing parameters in the topological structure; generating a service request, and categorizing a security level of a service according to a security requirement degree of the service, where the security level corresponds to a security score; establishing an optimization objective function to maximize a security score of the quantum key distribution optical network and minimize an occupancy of wavelength and timeslot resources; and establishing a constraint satisfying the optimization objective function, and allocating corresponding wavelength and timeslot resources to the service request under the constraint. The invention implements a joint optimization objective of maximizing a security score of a network and minimizing the occupation of wavelengths and timeslots.