Dr Ethan Bayne

Contact info

e.bayne@abertay.ac.uk

+44 (0)1382 30 8510

Biography

Education

2006 - 2008 Abertay University BSc Computing and Networks
2012 - 2013 Abertay University MSc (Distinction) Ethical Hacking and Computer Security
2013 - 2016 Abertay University PhD for a thesis entitled "Accelerating Digital Forensic Searching Through GPGPU Parallel Processing Techniques"

Employment

2007 - 2008 Applications and Development Technician Perth & Kinross Council Developed and maintained in-house software applications for corporate use.
2008 - 2013 ICT Technician Perth & Kinross Council Supporting large-scale ICT infrastructure and software for corporate and education environments.
2016 - Present Lecturer Abertay University Division of Cyber Security

Dr Bayne has taught a range of subjects at undergraduate and postgraduate level since 2013. Topics include:

Digital Forensics
Computer Security (Reverse Engineering, Web Application Hacking)
Object Oriented Programming (Java, C#)
Microprocessors and Electronics
Software Engineering
Computer Architecture
Operating Systems

Interests

Dr Bayne's research interests are within the cyber security theme. His current research investigates the application of massively-paralleled processors (GPGPUs) and modern pattern matching algorithms to the problem of digital forensics searching. Asides from parallel computing and pattern matching algorithms, he has current interests in computer security, machine learning and Internet of Things (IoT).

He is currently supervising a PhD project that aims to investigate deep learning Intrusion Detection Systems (IDS) for IoT.

2019

Improving SIEM for critical SCADA water infrastructures using machine learning

Hindy, H., Brosset, D. ., Bayne, E., Seeam, A. & Bellekens, X. (2019) Improving SIEM for critical SCADA water infrastructures using machine learning. In: Computer security: ESORICS 2018 International Workshops, CyberICPS 2018 and SECPRE 2018, Barcelona, Spain, September 6–7, 2018, revised selected papers. Katsikas, S. (ed.), Cuppens, F. (ed.), Cuppens, N. (ed.), Lambrinoudakis, C. (ed.), Antón, A. (ed.), Gritzalis, S. (ed.), Mylopoulos, J. (ed.), Kalloniatis, C. (ed.). p. 3-19. . Springer.
View in Research Portal

2018

A taxonomy of malicious traffic for intrusion detection systems

Hindy, H., Hodo, E., Bayne, E., Seeam, A., Atkinson, R. & Bellekens, X. (2018) A taxonomy of malicious traffic for intrusion detection systems. In: 2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA). . . IEEE .
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Investigating visualisation techniques for rapid triage of digital forensic evidence

Hales, G. & Bayne, E. (2018) Investigating visualisation techniques for rapid triage of digital forensic evidence. In: Human Computer Interaction : HCI International 2019. . p. 277-293. . Springer.
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OpenForensics

Bayne, E., Ferguson, R. I. & Sampson, A. T. (2018) OpenForensics. . . p. S29-S37. .
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2016

Using multiple GPUs to accelerate string searching for digital forensic analysis

Bayne, E., Ferguson, R. I., Sampson, A. T. & Isaacs, J. P. (2016) Using multiple GPUs to accelerate string searching for digital forensic analysis. In: SADFE Proceedings 2016. . p. 67-78. . Association of Digital Forensics, Security and Law (ADFSL).
View in Research Portal

More Information

Funding

RLincs PhD Studentship circa £80k
Nvidia GPU Seeding grant circa £1.3k

Esteem

Invited Talks

2017 SEGi University (Malaysia) Invited talk about IoT and the future of cybersecurity.
2017 KDU University (Malaysia) Invited talk about cybercrime and the security of connected cities.