A Novel Lattice-Based Blockchain Infrastructure and Its Application on Trusted Data Management

As a part of blockchain's infrastructure, the construction of Merkle trees typically relies on secure hash functions, such as SHA256. However, traditional blockchain systems face dual threats: quantum vulnerabilities in hash functions (e.g., Grover's algorithm reduces collision resistance) and inefficiencies in large-scale data verification. To address these challenges, we propose a parameter-hopping Merkle tree framework integrating a pseudo-random number generator (PRNG) with lattice-based cryptography. Our design ensures adaptive security through dynamic basis vector generation. This lattice-based structure offers flexibility in accommodating messages of varying sizes, supports distributed data storage, and enables efficient verification and querying of large-scale information streams. Key contributions include: a). A provably secure hash chain constructed via a family of extended-message-domain lattice-based hash functions (LBHFs), supporting arbitrary-length inputs. b). A variable-parameter Merkle tree protocol enabling efficient distributed data storage and query verification, with proof sizes optimized for P2P networks. c) A trusted data management prototype validated in a cloud storage scenario. Experimental results indicate that our blockchain infrastructure achieves enhanced security while maintaining high efficiency.

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Publication Details

Journal
IEEE Transactions on Network Science and Engineering
Published
2025-03-11
DOI
https://doi.org/10.1109/tnse.2025.3550158
Citations
4
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
12.98

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article

A Novel Lattice-Based Blockchain Infrastructure and Its Application on Trusted Data Management

Longbo Han, X.M. Li, Gengran Hu, Lin You et al.
4 citations
IEEE Transactions on Network Science and Engineering
Blockchain Technology Applications and Security
12.98
article

A Novel Lattice-Based Blockchain Infrastructure and Its Application on Trusted Data Management

Longbo Han, X.M. Li, Gengran Hu, Lin You, Feifei Xia, Shengbao Wang
article en
4 citations

Abstract

As a part of blockchain's infrastructure, the construction of Merkle trees typically relies on secure hash functions, such as SHA256. However, traditional blockchain systems face dual threats: quantum vulnerabilities in hash functions (e.g., Grover's algorithm reduces collision resistance) and inefficiencies in large-scale data verification. To address these challenges, we propose a parameter-hopping Merkle tree framework integrating a pseudo-random number generator (PRNG) with lattice-based cryptography. Our design ensures adaptive security through dynamic basis vector generation. This lattice-based structure offers flexibility in accommodating messages of varying sizes, supports distributed data storage, and enables efficient verification and querying of large-scale information streams. Key contributions include: a). A provably secure hash chain constructed via a family of extended-message-domain lattice-based hash functions (LBHFs), supporting arbitrary-length inputs. b). A variable-parameter Merkle tree protocol enabling efficient distributed data storage and query verification, with proof sizes optimized for P2P networks. c) A trusted data management prototype validated in a cloud storage scenario. Experimental results indicate that our blockchain infrastructure achieves enhanced security while maintaining high efficiency.

IEEE Transactions on Network Science and EngineeringVol. 12(4)
Hangzhou Normal University (CN), Hangzhou Dianzi University (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Blockchain Technology Applications and Security
12.98
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