Biblio

Filters: Author is Cao, Yuan  [Clear All Filters]
2020-03-09
Cao, Yuan, Zhao, Yongli, Li, Jun, Lin, Rui, Zhang, Jie, Chen, Jiajia.  2019.  Reinforcement Learning Based Multi-Tenant Secret-Key Assignment for Quantum Key Distribution Networks. 2019 Optical Fiber Communications Conference and Exhibition (OFC). :1–3.
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.
2020-04-06
Chin, Paul, Cao, Yuan, Zhao, Xiaojin, Zhang, Leilei, Zhang, Fan.  2019.  Locking Secret Data in the Vault Leveraging Fuzzy PUFs. 2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST). :1–6.

Physical Unclonable Functions (PUFs) are considered as an attractive low-cost security anchor. The unique features of PUFs are dependent on the Nanoscale variations introduced during the manufacturing variations. Most PUFs exhibit an unreliability problem due to aging and inherent sensitivity to the environmental conditions. As a remedy to the reliability issue, helper data algorithms are used in practice. A helper data algorithm generates and stores the helper data in the enrollment phase in a secure environment. The generated helper data are used then for error correction, which can transform the unique feature of PUFs into a reproducible key. The key can be used to encrypt secret data in the security scheme. In contrast, this work shows that the fuzzy PUFs can be used to secret important data directly by an error-tolerant protocol without the enrollment phase and error-correction algorithm. In our proposal, the secret data is locked in a vault leveraging the unique fuzzy pattern of PUF. Although the noise exists, the data can then be released only by this unique PUF. The evaluation was performed on the most prominent intrinsic PUF - DRAM PUF. The test results demonstrate that our proposal can reach an acceptable reconstruction rate in various environment. Finally, the security analysis of the new proposal is discussed.