Dr Ethan Bayne

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.

• Bayne, E., Ferguson, R. I., & Sampson, A. T. (2018). OpenForensics: a digital forensics GPU pattern matching approach for the 21st century. Digital Investigation, 24(Suppl.), S29-S37. DOI: 10.1016/j.diin.2018.01.005
• Bayne, E. (2017). Accelerating digital forensic searching through GPGPU parallel processing techniques. PhD thesis. Abertay University.
• Bayne, E., Ferguson, R. I., Sampson, A. T., & Isaacs, J. P. (2016). Using multiple GPUs to accelerate string searching for digital forensic analysis. In Proceedings of the 11th International Conference on Systematic Approaches to Digital Forensic Engineering (pp. 67-78). Association of Digital Forensics, Security and Law (ADFSL).
• Bayne, E., Ferguson, R.I. and Isaacs, J. (2014). OpenCL Acceleration of Digital Forensic Methods, In Proceedings of the Intl Conf on Cybercrime, Security and Digital Forensics (CyFor 2014), University of Strathclyde.