Topology Analysis of the XRP Ledger

Tumas, Vytautas; Rivera, Sean; Magoni, Damien; State, Radu

doi:10.1145/3555776.3577611

Reference : Topology Analysis of the XRP Ledger


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/52364

Title :	Topology Analysis of the XRP Ledger
Language :	English
Author, co-author :	Tumas, Vytautas [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN >]
	Rivera, Sean [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN >]
	Magoni, Damien [Université Bordeaux 1 > Computer Science]
	State, Radu [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN >]
Publication date :	12-Oct-2022
Peer reviewed :	Yes
Event name :	The 38th ACM/SIGAPP Symposium On Applied Computing
Event date :	March 27 - March 31, 2023
Event place (city) :	Tallinn
Event country :	Estonia
Keywords :	[en] Blockchain ; XRP Ledger ; Topology Analysis
Abstract :	[en] XRP Ledger is one of the oldest, well-established blockchains. Despite the popularity of the XRP Ledger, little is known about its underlying peer-to-peer network. The structural properties of a network impact its efficiency, security and robustness. We aim to close the knowledge gap by providing a detailed analysis of the XRP overlay network. In this paper we examine the graph-theoretic properties of the XRP Ledger peer-to-peer network and its temporal characteristics. We crawl the XRP Ledger over two months and collect 1,290 unique network snapshots. We uncover a small group of nodes that act as a networking backbone. In addition, we observe a high network churn, with a third of the nodes changing every five days. Our findings have strong implications for the resilience and safety of the XRP Ledger.
Funders :	Ripple UBRI
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/52364
DOI :	10.1145/3555776.3577611

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Open access	ACM_SAC_2023_XRP_network_analysis-1.pdf		Author postprint	5.81 MB	View/Open

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