Pith. sign in

REVIEW 1 cited by

HyperProv: Decentralized Resilient Data Provenance at the Edge with Blockchains

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1910.05779 v1 pith:MBSDCIGN submitted 2019-10-13 cs.DC

Petter Tunstad , Amin M. Khan , Phuong Hoai Ha This is my paper · ORCID
classification cs.DC
keywords datahyperprovprovenancedecentralizeddevicesedgelineagesystem
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Data provenance and lineage are critical for ensuring integrity and reproducibility of information in research and application. This is particularly challenging for distributed scenarios, where data may be originating from decentralized sources without any central control by a single trusted entity. We present HyperProv, a general framework for data provenance based on the permissioned blockchain Hyperledger Fabric (HLF), and to the best of our knowledge, the first system that is ported to ARM based devices such as Raspberry Pi (RPi). HyperProv tracks the metadata, operation history and data lineage through a set of built-in queries using smart contracts, enabling lightweight retrieval of provenance data. HyperProv provides convenient integration through a NodeJS client library, and also includes off-chain storage through the SSH file system. We evaluate HyperProv's performance, throughput, resource consumption, and energy efficiency on x86-64 machines, as well as on RPi devices for IoT use cases at the edge.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Trustworthy Provenance for Big Data Science: a Modular Architecture Leveraging Blockchain in Federated Settings

    cs.NI 2025-05 reject novelty 4.0 of 10

    The proposed architecture uses Hyperledger Fabric and persistent identifiers to track provenance of scientific artifacts across federated institutions.

Pith tools