SECReT 2010 PhD projects
- Metal oxide semiconductor gas sensors as an electronic nose for the detection of microbial agents
- What are the factors that make communities vulnerable to, or resistant against, the emergence of radicalising settings?
- Covert taggant nanoparticle inks - discovery, process and product development, and analysis for sustainability and efficiency
- Diffusion processes of political violence: The role of information
- Engineering IT risk awareness, education and training
- Three-dimentional imaging of baggage for security applications.
- Understanding the traffic-driven epidemic spreading in scale-free networks
- Optimal search and detection of targets in an uncertain environment using unmanned aerial vehicle
- Explosive residue: Evaluation and optimisation of detection and sampling procedures
- Forecasting adversary’s scenarios: Systemic competitive red teaming
- Secure digital archive and web search using a Probably Approximately Correct architecture
- Mobilising community resilience through techno-social innovation
- Numerical modelling/empirical analysis of civil conflict
- Landmine, IED, UXO Detection using Ground Penetrating Radar from an Unmanned Aerial Vehicle
- Towards a usable and less disruptive security in the workplace
- Securing from exploits using information theoretical techniques
- Crime drop in Chile: Searching for causes and mechanisms
- Inferring user behaviour despite wireless network encryption
- The Chain of Evidence - a critical appraisal of the applicability and validity of forensic research and the usability of forensic evidence
Understanding the traffic-driven epidemic spreading in scale-free networks
7 March 2012
This research is being funded by the China Scholarship Council. Epidemic Spreading is a common threat to both human (e.g. disease propagation) and techinical (e.g. computer-virus spreading on the Internet) networks. The introduction of Complex Network theory enable us to model and analyse the Epidemic Spreading as a dynamical process on an abstract network - scale-free network. The scale-free network is proven to be able to properly describe various natural and artificial networks, ranging from human migration networks to computer networks.
Most existing works on Epidemic Spreading focus on analysing the affection of network topology on epidemics. However, it is not only the topology but also the traffic-flow conditions that affect the spreading process of an epidemic on an network. We aim to study the interplay between the traffic dynamics and epidemic spreading on a scale-free network in the PhD project.