Dynamic Load Balancing for Systems under Heavy Traffic Demand and High Task Size Variation. Current computer systems cannot cope with extremely heavy traffic demands. A solution to such a difficult problem is to dynamically balance the load across the system's servers. Several solutions have been proposed and demonstrate advances in certain limited conditions (e.g. uniform distribution). However fundamental research work must be undertaken beyond the current way of dealing with the core issues o ....Dynamic Load Balancing for Systems under Heavy Traffic Demand and High Task Size Variation. Current computer systems cannot cope with extremely heavy traffic demands. A solution to such a difficult problem is to dynamically balance the load across the system's servers. Several solutions have been proposed and demonstrate advances in certain limited conditions (e.g. uniform distribution). However fundamental research work must be undertaken beyond the current way of dealing with the core issues of load balancing. Accounting for realistic conditions is a theoretical and practical challenge. This project aims at developing theoretical and computational models for dynamic task distribution for the studied systems. The benefits include substantial improvement of the system response time.Read moreRead less
Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project wil ....Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project will offer a reliable information environment for our society.Read moreRead less
Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. ....Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. Evaluation will be via development of several exemplar applications. The techniques and framework will be applicable to a broad range of economically important problems in areas as diverse as health, travel, scientific publication search, product marketing and software engineering.Read moreRead less
Security and Privacy of Individual Data Used to Extract Public Information. The project aims to contribute to the development of techniques to allow the harvesting of useful information without compromising personal privacy. Intelligent analysis of personal data can reveal valuable knowledge about a population but at a risk of invading an individual's privacy. This project aims to provide at least partial solutions to some of the problems associated with the protection of private data. In partic ....Security and Privacy of Individual Data Used to Extract Public Information. The project aims to contribute to the development of techniques to allow the harvesting of useful information without compromising personal privacy. Intelligent analysis of personal data can reveal valuable knowledge about a population but at a risk of invading an individual's privacy. This project aims to provide at least partial solutions to some of the problems associated with the protection of private data. In particular, it plans to work on the problem of security of statistical databases and privacy of streaming data. This would be underpinned by a study of anonymisation and homomorphic encryption. The expected outcomes are new theoretical results, new algorithms and protocols applicable to at least some of the current significant problems in information security.Read moreRead less
Secure user authentication with continuous adaptive risk evaluation. Users typically authenticate to any given system only once - when they first access it (for example, through providing a password or fingerprint). The prevalence of single sign-on further allows this single authentication to be sufficient for access to multiple systems. Thus an adversary can obtain a large degree of access from stealing a single password, hijacking a user's session, or even simply borrowing their phone. This pr ....Secure user authentication with continuous adaptive risk evaluation. Users typically authenticate to any given system only once - when they first access it (for example, through providing a password or fingerprint). The prevalence of single sign-on further allows this single authentication to be sufficient for access to multiple systems. Thus an adversary can obtain a large degree of access from stealing a single password, hijacking a user's session, or even simply borrowing their phone. This project aims to develop a continuous authentication approach based on user behaviour - typical interactions plus biometrics (for example, keystroke dynamics) - combined with a risk adaptive assessment of the resources being accessed, resulting in re-authentication requests in the event of a suspected compromise.Read moreRead less