Low-Latency Parallel Row-Layered Min-sum MDPC Decoder for McEliece Cryptosystem

In the latest round of post-quantum cryptography standardization, the McEliece cryptosystem utilizing medium-density parity-check (MDPC) codes remains a candidate. The row-layered Min-sum decoding for MDPC codes has better tradeoff between performance and complexity. Previous work adds constraints to the parity-check matrix construction in order to enable efficient parallel decoding. However, the constraints for large parallelism cause an undesirable reduction in the number of usable secret keys and hence the previous scheme has limitations in achieving higher speed. This paper proposes two new schemes to substantially reduce the latency of row-layered MDPC decoding. Instead of further increasing the constraints to achieve higher parallelism, multiple identity blocks in the parity-check matrix are processed simultaneously in the first scheme and large blocks of variable width are processed in a hybrid way in the second design. Efficient hardware architectures are also developed for both proposed decoders. For an example code, the two proposed decoders achieve around 40% speedup compared to the best prior effort with less than 10% area overhead.

Authors

Institutions

Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/sips62058.2024.00034
Citations
2
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
0.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-Latency Parallel Row-Layered Min-sum MDPC Decoder for McEliece Cryptosystem

Jiaxuan Cai, Xinmiao Zhang
2 citations
Coding theory and cryptography
0.69
article

Low-Latency Parallel Row-Layered Min-sum MDPC Decoder for McEliece Cryptosystem

Jiaxuan Cai, Xinmiao Zhang
article en
2 citations

Abstract

In the latest round of post-quantum cryptography standardization, the McEliece cryptosystem utilizing medium-density parity-check (MDPC) codes remains a candidate. The row-layered Min-sum decoding for MDPC codes has better tradeoff between performance and complexity. Previous work adds constraints to the parity-check matrix construction in order to enable efficient parallel decoding. However, the constraints for large parallelism cause an undesirable reduction in the number of usable secret keys and hence the previous scheme has limitations in achieving higher speed. This paper proposes two new schemes to substantially reduce the latency of row-layered MDPC decoding. Instead of further increasing the constraints to achieve higher parallelism, multiple identity blocks in the parity-check matrix are processed simultaneously in the first scheme and large blocks of variable width are processed in a hybrid way in the second design. Efficient hardware architectures are also developed for both proposed decoders. For an example code, the two proposed decoders achieve around 40% speedup compared to the best prior effort with less than 10% area overhead.

The Ohio State University (US)
National Science Foundation
Openalex Percentile: Top 22%
Coding theory and cryptography
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Low-Latency Parallel Row-Layered Min-sum MDPC Decoder for McEliece Cryptosystem — Jiaxuan Cai, Xinmiao Zhang · (2024) | TGRS Research Map | TGRS