Enabling Digital Transformation with Sustainability Criteria through Resilient Cybersecurity: Challenges and Opportunities

Authors

  • Michael Zipperle UNSW Canberra, Cyber Security Cooperative Research Centre
  • Marius Becherer UNSW Canberra, Cyber Security Cooperative Research Centre
  • Yu Zhang UNSW Canberra, Cyber Security Cooperative Research Centre
  • Elizabeth Chang Griffith University
  • Tharam Dillon La Trobe University
  • Achim Karduck Furtwangen University, Germany

Abstract

Digital transformation, necessitating the integration of digital technology across all business domains, is vital for long-term business policies seeking competitive advantage in our interconnected global economy. Sustainable transformation requires resilient and trustworthy Digital Ecosystems and transparency with respect to sustainability criteria. However, cybersecurity threats are at an all-time high, accelerated by the expansion of digital footprints and the Computer Supported Cooperative Work (CSCW) paradigm during the COVID-19 crisis. These risks are worsened by the straightforward misuse of the latest sophisticated cybersecurity educational platforms and Large Language Model (LLM)s. This study examines these challenges, proposes a conceptual framework for Cybersecurity-enabled DigitalTransformation (CeDT) to illustrate the interplay between cybersecurity
and digital transformation with sustainability criteria, and introduces a conceptual framework for Provenance-enabeld GraphAutoencoders for Anomaly Detection (PGAE-AD) as one potential security tool to detect cyber-security threats in continuously changing real-world environments. By providing a secure environment, these frameworks can be instrumental in facilitating digital transformation while minimizing associated cybersecurity risks.

Cite As

M. Zipperle, M. Becherer, Y. Zhang, E. Chang, T. Dillon, A. Karduck, "Enabling Digital
Transformation with Sustainability Criteria through Resilient Cybersecurity: Challenges
and Opportunities", Engineering Intelligent Systems, vol. 32 no. 1, pp. 35-41, 2024.





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Published

2024-01-01

Issue

Vol. 32 No. 1 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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