Journal article
Enabling Digital Transformation with Sustainability Criteria through Resilient Cybersecurity: Challenges and Opportunities
Engineering Intelligent Systems, Vol.32(1), pp.35-41
2024
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.
Details
- Title
- Enabling Digital Transformation with Sustainability Criteria through Resilient Cybersecurity: Challenges and Opportunities
- Authors
- Michael Zipperle - UNSW CanberraMarius Becherer - UNSW CanberraYu Zhang - UNSW CanberraElizabeth Chang - Griffith UniversityTharam Dillon - La Trobe UniversityAchim Karduck - Furtwangen University
- Publication details
- Engineering Intelligent Systems, Vol.32(1), pp.35-41
- Publisher
- C R L Publishing Ltd.
- Date published
- 2024
- ISSN
- 2753-9806
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991223829902621
- Output Type
- Journal article
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