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Secure Societies 2014 Working programme University of ULSTER (UU), United Kingdom University of ULSTER (UU), United Kingdom Prof. Hui Wang, Dr. Jun Liu,

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Presentation on theme: "Secure Societies 2014 Working programme University of ULSTER (UU), United Kingdom University of ULSTER (UU), United Kingdom Prof. Hui Wang, Dr. Jun Liu,"— Presentation transcript:

1 Secure Societies 2014 Working programme University of ULSTER (UU), United Kingdom University of ULSTER (UU), United Kingdom Prof. Hui Wang, Dr. Jun Liu, Prof. Vasily Novozhilov h.wang@ulster.ac.uk, j.liu@ulster.ac.uk, vb.novozhilov@ulster.ac.uk Topic: DS 6-2014: Risk Management and assurance models (Coordinator or partner) models (Coordinator or partner) Proposal: Enhancing NIS Platform for Risk Management of Complex ICT Supply Chain Security Aim : To capture and reflect the dynamic and complex nature of multiple ICT supply chain networks through data collection, data analysis, network model building, simulation and scenario appreciation. This will enable the prediction and control of networks in advance through the activity of a smart autonomous central NIS Platform with dynamic exchange between information security controls. UU contribution : A Belief Rule-Based Generic Risk Assessment Framework (RIMER)

2 THE RIMER TOOL – FEATURE AND APPLICATION Data-driven via domain knowledge Data-driven via domain knowledge Flexibility, Interpretation and Applicability Flexibility, Interpretation and Applicability Effectiveness and Efficiency Effectiveness and Efficiency GIS-based RIMER tool GIS-based RIMER tool Risk and safety analysis in general Oil pipe leak detection Software fault detection Monitoring, diagnosis, activity recognition in Smart Home and Health Care Urban planning and policy decision making Security/disaster management Multiple attribute group decision making Situation awareness and emergency systems Nuclear safeguards evaluation Video based surveillance system RIMER (RIMER+) are an extension of traditional rule based systems and are capable of representing more complicated causal relationships using different types of information with uncertainties

3 Potential partners and contributions Potential partners: Universities of Oxford, Liverpool John Moores, Oxford Brookes, Central Lancashire (UK); Jaén, Granada (Spain); Stavanger (Norway); Wroclaw University of Technology (Poland); TEI of Eastern Macedonia & Thrace (Greece) Contributions we are looking for Analysis of socio-economic impact Analysis of legal requirements and their implementation Contribution from industrial partners involved in software and hardware development in terms of pilots implementation End users


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