Reputation-Based Data Carrying for Web3 Networks

Conference Paper (2022)
Author(s)

Q.A. Stokkink (TU Delft - Data-Intensive Systems)

Can Umut Ileri (TU Delft - Data-Intensive Systems)

J.A. Pouwelse (TU Delft - Data-Intensive Systems)

Research Group
Data-Intensive Systems
Copyright
© 2022 Q.A. Stokkink, Can Umut Ileri, J.A. Pouwelse
DOI related publication
https://doi.org/10.1109/LCN53696.2022.9843374
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Q.A. Stokkink, Can Umut Ileri, J.A. Pouwelse
Related content
Research Group
Data-Intensive Systems
Pages (from-to)
283-286
ISBN (print)
978-1-6654-8002-4
ISBN (electronic)
978-1-6654-8001-7
Reuse Rights

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Abstract

Web3 networks are emerging to replace centrally-governed networking infrastructure. The integrity of the shared public infrastructure of Web3 networks is guaranteed through data sharing between nodes. However, due to the unstructured and highly partitioned nature of Web3 networks, data sharing between nodes in different partitions is a challenging task. In this paper we present the TSRP mechanism, which approaches the data sharing problem through nodes auditing each other to enforce carrying of data between partitions. Reputation is used as an analogue for the likelihood of nodes interacting with nodes from other partitions in the future. The number of copies of data shared with other nodes is inversely related to the nodes’ reputation. We use a real-world trace of Twitter to show how our implementation can converge to an equal number of copies as structured approaches

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