Efficient Data Confidence Fabrics with compact annotations
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Date
2025-02-28
Authors
Khalid, Asfa
Murphy, Seán Óg
Sreenan, Cormac
Roedig, Utz
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
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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.
Description
Keywords
Data compression , Data annotation , Trust , Zero trust , Data Confidence Fabric , Security
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
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