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University of Bradford

Blockchain-Based Zero Trust Threat Detection Framework for the Finance Industry Network

Abstract

dc:description.abstract

The rapid evolution of cyber threats has made perimeter-based security models inadequate, especially in the financial sector, where data integrity, confidentiality, and regulatory compliance are critical. Despite advances, existing frameworks like Zero Trust still face challenges such as centralised trust mechanisms and limited resilience against insider threats and APTs. This research addresses these gaps by integrating blockchain technology into the Zero Trust model, proposing a novel Zero Trust Blockchain (ZTB) framework. The ZTB framework introduces decentralised verification, immutable audit trails, and a hybrid access control system, significantly enhancing security and trust in financial networks. The study adopts a multi-phased methodology. A prototype banking application was developed to evaluate the performance of the foundational Zero Trust (FZT) framework, focusing on identity and access management (IAM), network security, and data protection. The results demonstrated resilience to common threats such as SQL injection and brute-force attacks. To address the limitations of Zero Trust, the ZTB framework was designed and validated using OMNeT++ simulations under three configurations: Traditional, FZT, and ZTB networks. Simulated attack scenarios, including MITM, DDoS, and insider threats, revealed that the ZTB framework achieved superior detection accuracy (96%), improved data integrity, and minimised false positives and negatives, despite minor trade-offs in latency and scalability. This research contributes to the cybersecurity literature by presenting ZTB as a transformative solution, combining Zero Trust principles with blockchain’s unique capabilities. By addressing identified gaps and aligning with regulatory standards, the ZTB framework offers a robust and transparent approach to securing financial networks.

Degree

thesis:*
Grantor dc:publisher.institution
University of Bradford

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Daah, Clement
Advisors dc:contributor.advisor
  • Awan, Irfan
  • Qureshi, Amna
  • Konur, Savas

Subjects

dc:subject × 8

Rights

dc:rights
Statement dc:rights
  • <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.
Language dc:language.iso
en

Identifiers

dc:identifier.*
Repository record dc:identifier.uri
https://bradscholars.brad.ac.uk/handle/10454/20964
OAI identifier oai:identifier
oai:bradscholars.brad.ac.uk:10454/20964

Chain of custody

source
Harvested from
University of Bradford
Base URL
bradscholars.brad.ac.uk/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Daah, Clement. Blockchain-Based Zero Trust Threat Detection Framework for the Finance Industry Network. University of Bradford, https://bradscholars.brad.ac.uk/handle/10454/20964