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Performance Analysis of Verifiable Data Registry Solutions for Decentralized Identifiers
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1281-6130
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-4031-2872
2022 (English)In: 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), IEEE, 2022Conference paper, Published paper (Refereed)
Abstract [en]

User identification in decentralized systems is a demanding task. Identification systems should work resiliently and have efficient performance. Moreover, identification systems should protect the data that they must store against hackers and saboteurs. Keeping a system with decentralized identification without any intervention in the middle has attracted attention to improve earlier centralized identification systems. Decentralized Identifiers (DIDs) constitute a solution for identification divided into different modules. The verifiable data registry is one of the main parts of this technology, which is distributed storage of identity properties. We analyze the decentralized identification data registry and compare the performance of verifiable data registry based on blockchain and the Distributed Hash Table (DHT) on different scales of systems. Our evaluation results show that DHT has better performance. Furthermore, a model based on DHT shows that in addition to immutable storage and faster query time, it makes systems handle or search in data storage with lower searching time compared to Ethereum Blockchain as another immutable secure technology. Finally, our results show that DHT is a better solution than other models in different scenarios. Although blockchain has promising results on a small scale, it still has problems with storage and query time in large-scale systems.

Place, publisher, year, edition, pages
IEEE, 2022.
Keywords [en]
Blockchain, Distributed Hash Table, Record keeping, Immutability, Data registry
National Category
Computer Sciences
Research subject
Pervasive Mobile Computing; Cyber-Physical Systems
Identifiers
URN: urn:nbn:se:ltu:diva-94951DOI: 10.1109/CSDE56538.2022.10089278Scopus ID: 2-s2.0-85153671577OAI: oai:DiVA.org:ltu-94951DiVA, id: diva2:1721096
Conference
9th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, December 18-20, 2022
Note

ISBN för värdpublikation: 978-1-6654-5305-9

Available from: 2022-12-21 Created: 2022-12-21 Last updated: 2023-09-05Bibliographically approved

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Alizadeh, MortezaAndersson, KarlSchelén, Olov

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CiteExportLink to record
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Citation style
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