Guest Editor(s)
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- Assoc. Prof. Zubair Baig
- Centre for Cyber Security Research and Innovation (CSRI), Deakin University, Geelong, Australia.
Website | E-mail
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- Assoc. Prof. Gang Li
- Centre for Cyber Security Research and Innovation (CSRI), Deakin University, Geelong, Australia.
Website | E-mail
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- Dr. Naeem Syed
- Centre for Cyber Security Research and Innovation (CSRI), Deakin University, Geelong, Australia.
Website | E-mail
Special Issue Introduction
With the surge of data collected from billions of devices, the capacity to electronically store, transfer and process the same continues to grow exponentially. Accordingly, issues such as cyber security and privacy are more challenging, especially when presented in the complex cyberspace of things or the cyberspace of everything. In the past few decades, the confluence of technological advances such as advanced storage and processing big data capabilities of modern-day computers and IoT devices, the evolution of AI algorithms techniques, and the rapidly rising adversarial strength, has culminated into a significantly broad research domain on Cybersecurity and Digital Forensics with an AI component.
A large proportion of modern-day cybersecurity systems comprise AI components to enable rapid and accurate classification of system and network data, to help prevent, detect and/or mitigate sophisticated cyberattacks. Similarly, digital forensics as a discipline will benefit from the rapid and accurate classification of post-incident data to help foster legal action for technologically driven criminal activities. Additionally, attack vectors have evolved to circumvent AI systems (such as face recognition systems) as part of adversarial attacks. In this Special Issue, we dedicate the theme to emerging challenges associated with the confluence of cybersecurity and/or digital forensics and AI.
Submission Deadline
30 Sep 2022
Journal of Surveillance, Security and Safety
