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International Conference on Business Information Systems

BIS 2020: Business Information Systems Workshops pp 120–131Cite as

A Blacklisting Smart Contract

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Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 394)

Abstract

The traditional financial system has the ability to facilitate forensic investigations into crimes relating to financial fraud. The same cannot be said about the blockchain-based financial system that has come to exist over the past few years. This financial system does not tolerate third parties impeding transactions and so presents the problem of not being able to facilitate investigations. The concept of a blacklist is considered as a potential solution to this issue, specifically, a blockchain-centric blacklist. This paper describes the implementation and evaluation of such a blacklist as a potential solution for facilitating investigations involving blockchain-based financial systems.

Keywords

  • Blockchain
  • Blacklist
  • Decentralization
  • Financial crime

This research benefitted, in part, from support from the Faculty of Science at the University of Johannesburg.

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Author information

Authors and Affiliations

  1. University of Johannesburg, PO Box 524, Johannesburg, South Africa

    Byron Kruger & Wai Sze Leung

Authors
  1. Byron Kruger
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  2. Wai Sze Leung
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Corresponding author

Correspondence to Wai Sze Leung .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Prof. Witold Abramowicz

  2. University of Colorado, Colorado Springs, CO, USA

    Gary Klein

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Cite this paper

Kruger, B., Leung, W.S. (2020). A Blacklisting Smart Contract. In: Abramowicz, W., Klein, G. (eds) Business Information Systems Workshops. BIS 2020. Lecture Notes in Business Information Processing, vol 394. Springer, Cham. https://doi.org/10.1007/978-3-030-61146-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-61146-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61145-3

  • Online ISBN: 978-3-030-61146-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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