Secure Societies 2014 Working programme Secure Societies 2014 Working programme University of ULSTER (UU), University of ULSTER (UU), United Kingdom United Kingdom Prof. Hui Wang, Dr. Jun Liu, Prof. Vasily Prof. Hui Wang, Dr. Jun Liu, Prof. Vasily Novozhilov Novozhilov [email protected], [email protected], [email protected]Topic: DS 6-2014: Topic: DS 6-2014: Risk Risk Management and Management and assurance assurance models (Coordinator or models (Coordinator or partner) 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
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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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Secure Societies 2014 Working programmeSecure Societies 2014 Working programme
University of ULSTER (UU), University of ULSTER (UU), United KingdomUnited KingdomProf. Hui Wang, Dr. Jun Liu, Prof. Vasily NovozhilovProf. Hui Wang, Dr. Jun Liu, Prof. Vasily Novozhilov [email protected], [email protected], [email protected]
Topic: DS 6-2014: Topic: DS 6-2014: RiskRisk Management and assurance 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)
• 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
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