I am a PhD student in the Department of Computer Science and Technology (previously known as the Computer Laboratory) at the University of Cambridge since Octobor 2017. I work under the supervision of Dr Alastair Beresford in the Digital Technology Group.
I have been conferred a BSc degree in Information Engineering and a MEng degree in Computer Science and Technology.
I am a member of Robinson College and my PhD research is funded by the CSC scholarship.
My research interests include all forms of security and privacy, but I am now particularly focused on issues related to mobile and IoT devices. My previous research focused on the security of large-scale complex social-cyber-physical systems and I have particiapted in several research projects. The title of my Master's thesis is "Research on Security Mechanisms for Smart Grids". I applied agent-based modeling, SDN and game theories into the attack modeling, security assessment, intrusion detection and coordinated protections on smart grids while taking human factors into account.
Smartphones present many new security and privacy challenges. This research work will develop efficient mechanisms and analytical tools to understand, detect and prevent security failures and privacy threats on mobile platforms. The research work aims to address novel threats to both security and privacy by taking advantage of new features provided by smartphone operating systems as well as the underlying hardware and sensor platform.
Cyber-Physical Systems (CPS) are critical infrastructures, the security of which influences the stability and development of many countries worldwide. This project aims to construct interdependency and threat models for CPS networks, and design an effective mechanism to predict attacks and evaluate system security.
In large-scale complex networks, attacks can be launched from cyber, physical and social domains. This project studies the cross-domain spreading of threats and aims to implement a multi-domain distributed collaborative intrusion detection system by semantic analysis.
The project aims to discover the interactive relations among each multi-domain networks. This project used complex network theory to depict the structure of multi-domain integrating networks and applied Petri nets to construct a unified multi-domain integrating model.
Course material: http://www.cl.cam.ac.uk/teaching/1718/DataSci/materials.html
Course material (from last year): https://www.cl.cam.ac.uk/teaching/1617/SecurityI/materials.html