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
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Forecasting adversary’s scenarios: Systemic competitive red teaming
7 March 2012
In the last few decades, a number of tools have been developed to support crime and intelligence analysts in assessing security threats. For example, the Analysis of Competing Hypotheses (ACH) method has been proposed in the 1970’s as a systematic tool for dealing with human biases. Other methods involving the use of Bayesian networks are also often proposed by the scientific community to accurately assess the likelihood of particular hypotheses when faced with numerous items of evidence.
In this experimental research project, a new hybrid method combining the core principles of quantitative techniques and structured techniques will be investigated. The resulting method will improve the ability of security agencies to draw more accurate conclusions from various pieces of intelligence. Ultimately, a reduction in the number of intelligence failures will contribute to improve public confidence in our services, as well as reducing the risk associated with threats from organised crime and terrorism.
