What does this research mean for the field?

The proposed method significantly improves data batch insertion efficiency and integrity verification delay in trusted data traceability compared to traditional Merkle mountain ranges. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The study aims to enhance data traceability methods in blockchain by addressing concurrency and validation efficiency issues.

March 1, 2026Scientia Sinica Informationis0 citationsOpen Access

Efficient trusted data traceability method based on segmented merkle mountain range

XZXuewang Zhang JZJunjie Zhang JLJinchao Lin

Key Points

The study aims to enhance data traceability methods in blockchain by addressing concurrency and validation efficiency issues.
Proposed a dual-layer index structure using local balanced subtrees and global Merkle mountain range.
Utilized InterPlanetary File System (IPFS) to store raw traceability data.
Segmented data construction based on threshold values for optimized insertion and verification.
Demonstrated significantly improved batch insertion efficiency over traditional Merkle mountain range.
Showed reduced integrity verification delays with concentrated data distribution.
Exhibited higher traceability efficiency in large-scale data scenarios.

Abstract

可信数据溯源是可信数据空间可信管控的关键环节。针对区块链溯源场景中数据的高并发写入与验证效率瓶颈，提出一种基于分层Merkle山脉的高效可信数据溯源方法。该方法利用星际文件系统(InterPlanetaryFileSystem，IPFS)存储原始溯源数据，并在Merkle树与Merkle山脉的基础上设计“局部平衡子树十全局Merkle山脉”的双层索引结构，将溯源数据按阈值分段构建，优化数据插入及完整性证明验证效率。实验测试了不同数据规模和分段阈值下各个阶段的时间开销。理论分析及实验结果表明，所提方法的数据批量插入效率对比传统Merkle山脉具有显著提升，数据批量完整性验证延迟随着数据分布的集中也相比传统Merkle山脉表现出更大优势，在大规模数据场景下具有更高的溯源效率。

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69a3d79dec16d51705d2dde2 https://doi.org/10.1360/ssi-2025-0411

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March 1, 2026Scientia Sinica Informationis0 citationsOpen Access

Efficient trusted data traceability method based on segmented merkle mountain range

XZXuewang Zhang JZJunjie Zhang JLJinchao Lin

Key Points

The study aims to enhance data traceability methods in blockchain by addressing concurrency and validation efficiency issues.
Proposed a dual-layer index structure using local balanced subtrees and global Merkle mountain range.
Utilized InterPlanetary File System (IPFS) to store raw traceability data.
Segmented data construction based on threshold values for optimized insertion and verification.
Demonstrated significantly improved batch insertion efficiency over traditional Merkle mountain range.
Showed reduced integrity verification delays with concentrated data distribution.
Exhibited higher traceability efficiency in large-scale data scenarios.

Abstract

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69a3d79dec16d51705d2dde2 https://doi.org/10.1360/ssi-2025-0411

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