Webinar: Data Driven Mobile Endpoint Security
Wednesday 7th July 2021, 7:00 pm.
Speaker: Dr. Zhiyuan Tan, Assistant Professor in Cybersecurity, School of Computing, Edinburgh Napier University
Network security has gained national priority in major countries. Despite the recent advance in cryptographic systems, security incidents have seen a continuing rise over the past decade. This particularly finds in mobile endpoints, which often fall victims of breaches of access control and malware. Endpoint security solutions, assuring dependable control of access and detection of risky or malicious activities, are in demand. In response, we proposed a new authentication mechanism to continuous monitor user’s touch-based behaviour and verify his/her identity in order to prevent unauthorised access to assets. This proposed authentication mechanism removes the demand for active user input, and addresses the issue of one-off authentication, while follows the user’s dynamic behavioural pattern making it more difficult to capture and replay. To further secure mobile endpoints from being compromised by malicious software, we proposed a bio-inspired malware analysis mechanism that helps identify risky or malicious activities. This proposed malware analysis mechanism introduces a new bio-inspired few-shot learning approach. It learns knowledge from known malware instances and creates malware mutants using evolutionary computing to predict the evolution of malware. The generated malware mutates serve as a rich source of data for training malware detectors that could discover future unseen malware instances..
About the speaker