Bitcoin's dynamic peer‐to‐peer topology. Issue 5 (19th March 2020)
- Record Type:
- Journal Article
- Title:
- Bitcoin's dynamic peer‐to‐peer topology. Issue 5 (19th March 2020)
- Main Title:
- Bitcoin's dynamic peer‐to‐peer topology
- Authors:
- Essaid, Meryam
Park, Sejin
Ju, Hong‐Taek - Other Names:
- Ju Hongtaek guestEditor.
Boutaba Raouf guestEditor.
Kim Myungsup guestEditor.
Stiller Burkhard guestEditor. - Abstract:
- Summary: Topology discovery is a prerequisite when investigating the network properties; with the enormous number of Bitcoin users and performance issues, it becomes critical to analyse the network in a fashion that makes it possible to detect all Bitcoin's nodes and understand their behaviour. In massive, dynamic, and distributed peer‐to‐peer (P2P) networks like Bitcoin, where thousands of updates occur per second, it is hard to obtain an accurate topology representing the structure of the network as a graph with nodes and links by using the traditional local measurement approaches based on batches, offline data, or on the discovery of the topology around a small set of nodes and then combine them to discover an approximate network topology. All of which present some limitation when applying them on blockchain‐based networks. In this paper, we propose a topology discovery system that performs a real‐time data collection and analysis for Bitcoin P2P links, which assembles incoming nodes information for deeper graph analysis processing. The topology discovery system allows us to gain knowledge on the Bitcoin network size, the network stability in terms of reachable, churn, and well‐connected nodes, as well as some data regarding the effects of some countries' Internet infrastructure on Bitcoin traffic. Abstract : While more than 17% of Bitcoin nodes are well connected, 82.1% of Bitcoin nodes churn. Bitcoin network community structure is higher compared with any other randomSummary: Topology discovery is a prerequisite when investigating the network properties; with the enormous number of Bitcoin users and performance issues, it becomes critical to analyse the network in a fashion that makes it possible to detect all Bitcoin's nodes and understand their behaviour. In massive, dynamic, and distributed peer‐to‐peer (P2P) networks like Bitcoin, where thousands of updates occur per second, it is hard to obtain an accurate topology representing the structure of the network as a graph with nodes and links by using the traditional local measurement approaches based on batches, offline data, or on the discovery of the topology around a small set of nodes and then combine them to discover an approximate network topology. All of which present some limitation when applying them on blockchain‐based networks. In this paper, we propose a topology discovery system that performs a real‐time data collection and analysis for Bitcoin P2P links, which assembles incoming nodes information for deeper graph analysis processing. The topology discovery system allows us to gain knowledge on the Bitcoin network size, the network stability in terms of reachable, churn, and well‐connected nodes, as well as some data regarding the effects of some countries' Internet infrastructure on Bitcoin traffic. Abstract : While more than 17% of Bitcoin nodes are well connected, 82.1% of Bitcoin nodes churn. Bitcoin network community structure is higher compared with any other random P2P network. Almost 32% of Bitcoin active routable peers are run in the data centres. … (more)
- Is Part Of:
- International journal of network management. Volume 30:Issue 5(2020)
- Journal:
- International journal of network management
- Issue:
- Volume 30:Issue 5(2020)
- Issue Display:
- Volume 30, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 30
- Issue:
- 5
- Issue Sort Value:
- 2020-0030-0005-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-03-19
- Subjects:
- Computer networks -- Management -- Periodicals
004.6 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1190 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/nem.2106 ↗
- Languages:
- English
- ISSNs:
- 1055-7148
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.373300
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13937.xml