Efficient Data Confidence Fabrics with compact annotations
| dc.contributor.author | Khalid, Asfa | en |
| dc.contributor.author | Murphy, Seán Óg | en |
| dc.contributor.author | Sreenan, Cormac | en |
| dc.contributor.author | Roedig, Utz | en |
| dc.contributor.funder | Science Foundation Ireland | en |
| dc.contributor.funder | Horizon 2020 Framework Programme | en |
| dc.contributor.funder | Enterprise Ireland | en |
| dc.date.accessioned | 2025-12-04T09:26:09Z | |
| dc.date.available | 2025-12-04T09:26:09Z | |
| dc.date.issued | 2025-02-28 | en |
| dc.description.abstract | The need to trust data has become a key requirement in modern distributed systems. To facilitate measurable trust and confidence in data and applications spanning heterogeneous systems, the emerging concept of a Data Confidence Fabric (DCF) offers a compelling solution. Data producers and processors provide metadata, known as annotations, recording trust insertion along the data delivery chain. Thus, it is possible to asses the trustworthiness of data before processing it. While a DCF, such as the Alvarium framework, enables this management of trust, there is a cost in terms of the overheads associated with security annotations themselves. To improve efficiency of a DCF, we therefore propose a set of techniques for making annotations more compact and to reduce the number of DCF transactions. Our work shows that transaction efficiency gains of up to 93% in our considered use cases can be achieved. | en |
| dc.description.sponsorship | Horizon 2020 Framework Programme (EU Grant Number 101097560); Enterprise Ireland (No: IR-2022-0065); Science Foundation Ireland (13/RC/2077 P2) | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Accepted Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Khalid, A., Murphy, S. Ó., Sreenan, C. and Roedig, U. (2025) 'Efficient Data Confidence Fabrics with compact annotations', 2024 IEEE 32nd International Conference on Network Protocols (ICNP), Charleroi, Belgium, 28-31 October 2024, pp. 1-6. https://doi.org/10.1109/ICNP61940.2024.10858579 | en |
| dc.identifier.doi | 10.1109/icnp61940.2024.10858579 | en |
| dc.identifier.eissn | 2643-3303 | en |
| dc.identifier.endpage | 6 | en |
| dc.identifier.isbn | 979-8-3503-5171-2 | en |
| dc.identifier.isbn | 979-8-3503-5172-9 | en |
| dc.identifier.issn | 1092-1648 | en |
| dc.identifier.startpage | 1 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/18333 | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | 2024 IEEE 32nd International Conference on Network Protocols (ICNP), Charleroi, Belgium, 28-31 October 2024 | en |
| dc.relation.project | 101097560 | en |
| dc.rights | © 2024, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
| dc.subject | Data compression | en |
| dc.subject | Data annotation | en |
| dc.subject | Trust | en |
| dc.subject | Zero trust | en |
| dc.subject | Data Confidence Fabric | en |
| dc.subject | Security | en |
| dc.title | Efficient Data Confidence Fabrics with compact annotations | en |
| dc.type | Conference item | en |
| dc.type | proceedings-article | en |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Efficient_Data_Confidence_Fabrics_With_Compact_Annotations.pdf
- Size:
- 241.57 KB
- Format:
- Adobe Portable Document Format
- Description:
- Accepted Version
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 2.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description:
