Neural network-based blockchain decision scheme

Jacques Bou Abdo, Sherali Zeadally

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Blockchain is a game-changer for many applications such as storage, consensus, authentication, and many others. Although blockchain’s contribution is undeniable, but it is not always the best solution. Professionals struggle to decide whether to adopt blockchain and when they do, they are faced with another challenge to choose the suitable type. Decision schemes are developed to help professionals select the best technology. Existing decision schemes are of two types questionnaire forms and flow diagrams. All existing schemes share a main drawback that the user is limited to a predefined set of answers without having the capacity to fine-grain his preferences in addition to per scheme-specific drawbacks. In this paper, we will propose a neural network-based decision scheme that gives the user an advanced decision support feature of specifying proportional weights between characteristics that does not exist in any other blockchain type decision scheme and solve the drawbacks available in existing schemes.

Original languageEnglish
Pages (from-to)173-187
Number of pages15
JournalInformation Security Journal
Volume30
Issue number3
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2020 Taylor & Francis Group, LLC.

Keywords

  • Adoption
  • blockchain
  • decision making
  • neural networks

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Information Systems and Management

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