| Title | Reinforcement Learning Based Multi-Tenant Secret-Key Assignment for Quantum Key Distribution Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Cao, Yuan, Zhao, Yongli, Li, Jun, Lin, Rui, Zhang, Jie, Chen, Jiajia |
| Conference Name | 2019 Optical Fiber Communications Conference and Exhibition (OFC) |
| Keywords | Artificial neural networks, Benchmark testing, Heuristic algorithms, learning (artificial intelligence), online multitenant secret-key assignment algorithm, predictability, pubcrawl, quantum cryptography, quantum key distribution networks, reinforcement learning, Resiliency, Resource management, Scalability, security, Security Heuristics, tenant-request blocking probability, Training |
| Abstract | We propose a reinforcement learning based online multi-tenant secret-key assignment algorithm for quantum key distribution networks, capable of reducing tenant-request blocking probability more than half compared to the benchmark heuristics. |
| Citation Key | cao_reinforcement_2019 |
Reinforcement Learning Based Multi-Tenant Secret-Key Assignment for Quantum Key Distribution Networks