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Security and Scalability in Private Permissionless Blockchain: Problems and Solutions Leading to Creating Consent-as-a-Service (CaaS) Deployment

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Advances in Computational Collective Intelligence (ICCCI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1463))

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Abstract

The purpose of this paper is to analyze the security and scalability problems occurring in private permissionless blockchain systems. The consent management system (CMS) based upon Hyperledger Fabric (HLF), was implemented in the selected blockchain-as-a-service (BaaS), and therefore led to consent-as-a-service (CaaS) deployment. The experiments results assessed to what level the network transaction throughput is affected by changing the world state size, which indicates scalability of chosen blockchain system implementation. Additional experiments with the IBM Blockchain Platform and the FastFabric framework (a HLF modification) were performed to prove the possibility to achieve transaction throughput comparable to the Ethereum blockchain network.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Hanna Grodzicka, Michal Kedziora & Lech Madeyski

Authors
  1. Hanna Grodzicka
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  2. Michal Kedziora
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  3. Lech Madeyski
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Corresponding author

Correspondence to Michal Kedziora .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

  2. VU Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  3. University of the West of England, Bristol, UK

    Elias Pimenidis

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Maleszka

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Grodzicka, H., Kedziora, M., Madeyski, L. (2021). Security and Scalability in Private Permissionless Blockchain: Problems and Solutions Leading to Creating Consent-as-a-Service (CaaS) Deployment. In: Wojtkiewicz, K., Treur, J., Pimenidis, E., Maleszka, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham. https://doi.org/10.1007/978-3-030-88113-9_22

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  • DOI: https://doi.org/10.1007/978-3-030-88113-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88112-2

  • Online ISBN: 978-3-030-88113-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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