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Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems

Summary: LineageChain delivers fine-grained, secure provenance for blockchains, exposing execution history to smart contracts. Provenance is captured during contract execution, stored in a Merkle tree with a novel skip-list index, enabling online, efficient provenance queries on Hyperledger/ForkBase. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
he7e2b1ccabc1f6d6
Venue
VLDB
Year
2019
Pagerank
7.9277292e-05
Overall Rank
2,845 | 80.94%
DOI
10.14778/3329772.3329775
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ruan_vldb19,
        title = {{Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems}},
        author = {Ruan, Pingcheng and Chen, Gang and Dinh, Tien Tuan Anh and Lin, Qian and Ooi, Beng Chin and Zhang, Meihui},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {9},
        pages = {975--988},
        doi = {10.14778/3329772.3329775},
        url = {https://doi.org/10.14778/3329772.3329775},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank Citing Paper Year Venue Pagerank
2,146 A Transactional Perspective on Execute-order-validate Blockchains 2020 SIGMOD 8.9604977e-05
4,222 NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering 2022 VLDB 6.7110362e-05
4,354 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6318545e-05
4,859 P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics 2021 SIGMOD 6.3649109e-05
5,191 Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives 2021 SIGMOD 6.2210236e-05
5,361 Spitz: A Verifiable Database System 2020 VLDB 6.1497409e-05
5,785 Blockchains vs. Distributed Databases: Dichotomy and Fusion 2021 SIGMOD 5.9771676e-05
6,888 Analysis of Indexing Structures for Immutable Data 2020 SIGMOD 5.6394555e-05
7,160 vChain: A Blockchain System Ensuring Query Integrity 2020 SIGMOD 5.5804283e-05
7,189 GlassDB: An Efficient Verifiable Ledger Database System Through Transparency 2023 VLDB 5.5737871e-05
7,224 GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism 2023 VLDB 5.5653961e-05
8,910 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.2369069e-05
8,967 Compact, Tamper-Resistant Archival of Fine-Grained Provenance 2021 VLDB 5.2356443e-05
9,390 Evaluating Memory-Hard Proof-of-Work Algorithms on Three Processors 2020 VLDB 5.1679017e-05
10,899 Toward Temporal Attribution Analytics in Dataflows 2026 VLDB 4.9605343e-05
11,203 Unified Lineage System: Tracking Data Provenance at Scale 2025 SIGMOD 4.9605343e-05
11,425 Pistis: A Decentralized Knowledge Graph Platform Enabling Ownership-Preserving SPARQL Querying 2025 VLDB 4.9605343e-05
11,916 LedgerView: Access-Control Views on Hyperledger Fabric 2022 SIGMOD 4.9605343e-05
12,007 Flow Provenance in Temporal Interaction Networks 2021 SIGMOD 4.9605343e-05
12,025 On Optimizing the Trade-off between Privacy and Utility in Data Provenance 2021 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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