On Integrating Provenance Data in IPFS
Publikation: Beitrag zu Konferenzen › Paper › Beigetragen › Begutachtung
Beitragende
Abstract
In this demo paper, we present a practical approach for integrating provenance data into IPFS, supporting transparent and verifiable data management in distributed environments. Embedding provenance data into the root block enables efficient retrieval, versioning, and content discovery through a single CID, while remaining fully compatible with the existing network. We demonstrate the approach's practical utility for tracking provenance data of policies in a multi-provider cloud infrastructure.
Details
| Originalsprache | Englisch |
|---|---|
| Seiten | 1-3 |
| Publikationsstatus | Veröffentlicht - 2026 |
| Peer-Review-Status | Ja |
Konferenz
| Titel | 25th International Federation for Information Processing (IFIP) Networking Conference |
|---|---|
| Untertitel | AI-Driven Autonomous Networking |
| Kurztitel | IFIP Networking 2026 |
| Veranstaltungsnummer | 25 |
| Dauer | 24 - 27 Mai 2026 |
| Webseite | |
| Ort | Università della Svizzera italiana |
| Stadt | Lugano |
| Land | Schweiz |
Externe IDs
| Scopus | 105044421859 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
- Computernetzwerke und -kommunikation - Data integrity, IPFS, Distributed Computing
- Hardware und Architektur - Data integrity, IPFS, Distributed Computing
- Informationssysteme und -management - Data integrity, IPFS, Distributed Computing
- Sicherheit, Risiko, Zuverlässigkeit und Qualität - Data integrity, IPFS, Distributed Computing
Schlagwörter
- Data integrity, IPFS, Distributed Computing