Error Correction Code Verifiable Computation Consensus

In blockchain, proof-of-work (PoW) is a popular consensus mechanism in which block publishers secure block contents through competitive computation. This competition has led to the emergence of specialized computing devices, such as application-specific integrated circuits (ASICs). Consequently, block publishing has become monopolized by a small group of top publishers equipped with ASICs and benefiting from economy of scale. This monopoly undermines immutability and security that are derived from the decentralized structure of blockchains. In this paper, we introduce a type of blockchain consensus algorithm named error-correction code verifiable computation consensus (ECCVCC), which includes conventional PoW. After that, we propose a novel ECCVCC utilizing a syndrome decoding problem as its crypto puzzle. The ECCVCC algorithm suppresses the development of efficient ASICs by utilizing time-varying cryptographic puzzles. As a result, the decentralization of a blockchain with ECCVCC can be improved compared to the blockchains with other consensus algorithms. Our analysis and simulation demonstrate that ECCVCC achieves robust control over block-generation time and difficulty under practical scenarios. Finally, we discuss that ASIC-resistant consensus algorithms, such as ECCVCC, sustain a blockchain network decentralized for a significantly longer period compared to conventional hash-PoW.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2025-01-01
DOI
https://doi.org/10.1109/tifs.2025.3581028
Citations
1
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
1.49

Funders

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

Error Correction Code Verifiable Computation Consensus

Heung-No Lee, Haeung Choi, Seungmin Kim
1 citations
IEEE Transactions on Information Forensics and Security
Distributed systems and fault tolerance
1.49
article

Error Correction Code Verifiable Computation Consensus

Heung-No Lee, Haeung Choi, Seungmin Kim
article en
1 citations

Abstract

In blockchain, proof-of-work (PoW) is a popular consensus mechanism in which block publishers secure block contents through competitive computation. This competition has led to the emergence of specialized computing devices, such as application-specific integrated circuits (ASICs). Consequently, block publishing has become monopolized by a small group of top publishers equipped with ASICs and benefiting from economy of scale. This monopoly undermines immutability and security that are derived from the decentralized structure of blockchains. In this paper, we introduce a type of blockchain consensus algorithm named error-correction code verifiable computation consensus (ECCVCC), which includes conventional PoW. After that, we propose a novel ECCVCC utilizing a syndrome decoding problem as its crypto puzzle. The ECCVCC algorithm suppresses the development of efficient ASICs by utilizing time-varying cryptographic puzzles. As a result, the decentralization of a blockchain with ECCVCC can be improved compared to the blockchains with other consensus algorithms. Our analysis and simulation demonstrate that ECCVCC achieves robust control over block-generation time and difficulty under practical scenarios. Finally, we discuss that ASIC-resistant consensus algorithms, such as ECCVCC, sustain a blockchain network decentralized for a significantly longer period compared to conventional hash-PoW.

IEEE Transactions on Information Forensics and SecurityVol. 20
Gwangju Institute of Science and Technology (KR)
Ministry of Science and ICT, South Korea
Openalex Percentile: Top 16%
Distributed systems and fault tolerance
1.49
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.