Node criticality assessment in a blockchain network

Shyam Bazari, Aditya, Aggarwal, Akash, Asif, Waqar ORCID: https://orcid.org/0000-0001-6774-3050, Lestas, Marios and Rajarajan, Muttukrishnan (2019) Node criticality assessment in a blockchain network. In: SenSys '19: The 17th ACM Conference on Embedded Networked Sensor Systems, 10 Nov 2019, New York, USA.

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Abstract

Blockchain systems are being rapidly integrated in various technologies, with limited work on the effect of the underlying network topology on the blockchain performance. In this work, we investigate the significance of each network node on the overall blockchain performance. This is assessed by selecting critical nodes according to different criticality metrics, and investigating, using simulations, the degradation in performance incurred upon removing these nodes. The most critical nodes are the ones that incur the greatest degradation in performance. The considered performance metrics are the blockchain size and the packet drop rate. Criticality metrics such as Betweennes Centrality, Closeness Centrality and Degree Centrality are compared. It is found that the Sign Change Spectral Partitioning approach, enhanced with Blockchain Specific traffic flow information, is able to identify critical nodes better in the sense that higher degradation in performance is reported upon their removal.

Item Type: Conference or Workshop Item (Paper)
ISBN: 9781450370127
Identifier: 10.1145/3362744.3363343
Page Range: pp. 22-27
Additional Information: © ACM 2019. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in BlockSys'19: Proceedings of the 2nd Workshop on Blockchain-enabled Networked Sensor, https://doi.org/10.1145/3362744.3363343.
Uncontrolled Keywords: blockchain, node criticality, blockchain security, blockchain attacks, network analysis
Subjects: Computing
Related URLs:
Depositing User: Waqar Asif
Date Deposited: 05 Dec 2020 01:10
Last Modified: 09 Dec 2020 15:54
URI: http://repository.uwl.ac.uk/id/eprint/7508

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