On Integrating Provenance Data in IPFS
Research output: Contribution to conferences › Paper › Contributed › peer-review
Contributors
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
| Original language | English |
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| Pages | 1-3 |
| Publication status | Published - 2026 |
| Peer-reviewed | Yes |
Conference
| Title | 25th International Federation for Information Processing (IFIP) Networking Conference |
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| Subtitle | AI-Driven Autonomous Networking |
| Abbreviated title | IFIP Networking 2026 |
| Conference number | 25 |
| Duration | 24 - 27 May 2026 |
| Website | |
| Location | Università della Svizzera italiana |
| City | Lugano |
| Country | Switzerland |
External IDs
| Scopus | 105044421859 |
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Keywords
ASJC Scopus subject areas
Keywords
- Data integrity, IPFS, Distributed Computing