Reputation-Based Data Carrying for Web3 Networks

Quinten Stokkink; Can Umut Ileri; Johan Pouwelse

doi:10.1109/LCN53696.2022.9843374

Reputation-Based Data Carrying for Web3 Networks

Quinten Stokkink, Can Umut Ileri, Johan Pouwelse

Distributed Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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

Original language	English
Title of host publication	Proceedings of the 47th IEEE Conference on Local Computer Networks, LCN 2022
Editors	Sharief Oteafy, Eyuphan Bulut, Florian Tschorsch
Place of Publication	Piscataway
Publisher	IEEE
Pages	283-286
Number of pages	4
ISBN (Electronic)	978-1-6654-8001-7
ISBN (Print)	978-1-6654-8002-4
DOIs	https://doi.org/10.1109/LCN53696.2022.9843374
Publication status	Published - 2022
Event	2022 IEEE 47th Conference on Local Computer Networks (LCN) - Hybrid hosted in Edmonton, Canada Duration: 26 Sep 2022 → 29 Sep 2022 Conference number: 47th

Publication series

Name	Proceedings - Conference on Local Computer Networks, LCN

Conference

Conference	2022 IEEE 47th Conference on Local Computer Networks (LCN)
Country/Territory	Canada
City	Hybrid hosted in Edmonton
Period	26/09/22 → 29/09/22

Bibliographical note

Accepted author manuscript

Keywords

infrastructure
integrity
reputation
Web3
peerto-peer
partitioning
split

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/LCN53696.2022.9843374

Reputation-Based Data Carrying for Web3 Networks (Postprint)Accepted author manuscript, 273 KBLicence: CC BY

Cite this

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title = "Reputation-Based Data Carrying for Web3 Networks",

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{\textquoteright} 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",

keywords = "infrastructure, integrity, reputation, Web3, peerto-peer, partitioning, split",

author = "Quinten Stokkink and Ileri, {Can Umut} and Johan Pouwelse",

note = "Accepted author manuscript; 2022 IEEE 47th Conference on Local Computer Networks (LCN) ; Conference date: 26-09-2022 Through 29-09-2022",

year = "2022",

doi = "10.1109/LCN53696.2022.9843374",

language = "English",

isbn = "978-1-6654-8002-4",

series = "Proceedings - Conference on Local Computer Networks, LCN",

publisher = "IEEE ",

pages = "283--286",

editor = "Sharief Oteafy and Eyuphan Bulut and Florian Tschorsch",

booktitle = "Proceedings of the 47th IEEE Conference on Local Computer Networks, LCN 2022",

address = "United States",

}

Stokkink, Q , Ileri, CU & Pouwelse, J 2022, Reputation-Based Data Carrying for Web3 Networks. in S Oteafy, E Bulut & F Tschorsch (eds), Proceedings of the 47th IEEE Conference on Local Computer Networks, LCN 2022., 9843374, Proceedings - Conference on Local Computer Networks, LCN, IEEE , Piscataway, pp. 283-286, 2022 IEEE 47th Conference on Local Computer Networks (LCN), Hybrid hosted in Edmonton, Canada, 26/09/22. https://doi.org/10.1109/LCN53696.2022.9843374

Reputation-Based Data Carrying for Web3 Networks. / Stokkink, Quinten ; Ileri, Can Umut ; Pouwelse, Johan.

Proceedings of the 47th IEEE Conference on Local Computer Networks, LCN 2022. ed. / Sharief Oteafy; Eyuphan Bulut; Florian Tschorsch. Piscataway : IEEE , 2022. p. 283-286 9843374 (Proceedings - Conference on Local Computer Networks, LCN).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Ileri, Can Umut

AU - Pouwelse, Johan

N1 - Conference code: 47th

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Y1 - 2022

N2 - 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

AB - 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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KW - integrity

KW - reputation

KW - Web3

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KW - partitioning

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A2 - Oteafy, Sharief

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ER -

Reputation-Based Data Carrying for Web3 Networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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