Research Article
DU-QS22: A Dataset for Analyzing QC-MDPC-Based Quantum-Safe Cryptosystems
@INPROCEEDINGS{10.1007/978-3-031-17081-2_1, author={Mohammad Reza Nosouhi and Syed W. Shah and Lei Pan and Robin Doss}, title={DU-QS22: A Dataset for Analyzing QC-MDPC-Based Quantum-Safe Cryptosystems}, proceedings={Applied Cryptography in Computer and Communications. Second EAI International Conference, AC3 2022, Virtual Event, May 14-15, 2022, Proceedings}, proceedings_a={AC3}, year={2022}, month={10}, keywords={PKE KEMs Quantum-safe QC-MDPC-based cryptosystem}, doi={10.1007/978-3-031-17081-2_1} }- Mohammad Reza Nosouhi
Syed W. Shah
Lei Pan
Robin Doss
Year: 2022
DU-QS22: A Dataset for Analyzing QC-MDPC-Based Quantum-Safe Cryptosystems
AC3
Springer
DOI: 10.1007/978-3-031-17081-2_1
Abstract
Cryptographically Relevant Quantum Computers (CRQC) will likely compromise the security of current Public-Key Encryption (PKE) mechanisms and make them unusable in the near future. In view of this, the National Institute of Standards and Technology (NIST) is currently undertaking the standardization of post-quantum Key Encapsulation Mechanisms (KEM) such that they can withstand quantum-capable attackers. One potential standardization candidate (i.e., BIKE) is based upon Quasi-Cyclic Moderate Density (QC-MDPC) codes and offers benefits in terms of security and key-size compared with other candidates. Since this candidate is highly dependent upon the performance of the decoder employed in the decapsulation subroutine, we in this paper, present a dataset for benchmarking the performance of various instantiations of decoders that may be proposed by the wider research community in future. To the best of our knowledge, no other dataset exists for researchers to benchmark their decoders for QC-MDPC-based cryptosystems.
