Efficient Layered New Bit-Flipping QC-MDPC Decoder for BIKE Post-Quantum Cryptography

The medium-density parity-check (MDPC) code-based Bit Flipping Key Encapsulation (BIKE) mechanism remains a candidate for post-quantum cryptography standardization. The latest version utilizes a new bit-flipping (BF) decoding algorithm, which decides the BF threshold by an affine function with high-precision coefficients. Previous BF decoder implementations can be extended to the new algorithm. However, they suffer from large memories that dominate the overall complexity. This paper proposes a column-layered decoder for the new BIKE BF decoding algorithm to substantially reduce the memory requirement, and optimizes the affine BF threshold function coefficients to reduce the code length needed for the same security level. For the first time, our work also investigates the impact of finite precision representation of the threshold coefficients on the decoding performance. For an example MDPC code considered for the standard, the proposed layered BF decoder achieves 20% complexity reduction compared to the best prior effort with a very small latency overhead.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043849
Citations
1
Primary Topic
Quantum-Dot Cellular Automata
Type
article
Field-Weighted Citation Impact
1.50

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article

Efficient Layered New Bit-Flipping QC-MDPC Decoder for BIKE Post-Quantum Cryptography

Jiaxuan Cai, Xinmiao Zhang
1 citations
Quantum-Dot Cellular Automata
1.50
article

Efficient Layered New Bit-Flipping QC-MDPC Decoder for BIKE Post-Quantum Cryptography

Jiaxuan Cai, Xinmiao Zhang
article en
1 citations

Abstract

The medium-density parity-check (MDPC) code-based Bit Flipping Key Encapsulation (BIKE) mechanism remains a candidate for post-quantum cryptography standardization. The latest version utilizes a new bit-flipping (BF) decoding algorithm, which decides the BF threshold by an affine function with high-precision coefficients. Previous BF decoder implementations can be extended to the new algorithm. However, they suffer from large memories that dominate the overall complexity. This paper proposes a column-layered decoder for the new BIKE BF decoding algorithm to substantially reduce the memory requirement, and optimizes the affine BF threshold function coefficients to reduce the code length needed for the same security level. For the first time, our work also investigates the impact of finite precision representation of the threshold coefficients on the decoding performance. For an example MDPC code considered for the standard, the proposed layered BF decoder achieves 20% complexity reduction compared to the best prior effort with a very small latency overhead.

The Ohio State University (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 15%
Quantum-Dot Cellular Automata
1.50
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