Ransomware, a type of malware that restricts access to a victim's computing resources and demands a ransom in order to restore access, is a continually growing and costly threat across the globe. Like other areas of malware research, work is being conducted across academia and industry to develop techniques that can help to detect and recover from ransomware attacks. This talk begins by providing an overview of the current landscape of anti-ransomware techniques in the academic community, along with providing some examples of tools that have been developed to defeat ransomware. This is followed by a closer examination of some of the specific indicators of a ransomware attack, highlighting the importance of a behavioural approach to detecting ransomware. Then, two current streams of research are presented, covering both a behavioural and a statistical approach to detecting ransomware, along with preliminary results and an evaluation of both of these approaches. Finally, the problems associated with ransomware defence as well as the future of this area are discussed.
Jamie is a PhD student at the University of Kent, researching various aspects of ransomware including a behavioural analysis and strategies for defence. He achieved a First Class Degree with Honours in Computer Science with a Year in Industry at the University of Kent. Jamie is currently researching ways to mitigate the effects of ransomware attacks by analysing the malicious behaviour it exhibits. His interests include ransomware, cryptography, and defence against malware. Jamie actively takes part in Capture the Flag (CTF) cybersecurity competitions and aims to increase student interest and engagement in this area through training and hosting competitions.
Cornwallis South West,
University of Kent,
DetailsOpen to everyone, especially those interested in cyber security research,
Contact: Jason R.C. Nurse