School of Computing

Staff Profiles

Dr John Mace

Research Associate

Research

John is a research associate working on the security of smart buildings, in particular understanding the security threats to smart building systems. In September 2017, John joined the Cyber Security Centre, University of Warwick for a 6-month secondment with Newcastle to work on a PETRAS collaboration project NUSBIoT, assessing the security of Newcastle University Urban Sciences Building. John has previously undertaken a 12-month internship with the Cloud and Security Group, HP Research Lab, Bristol working on the EPSRC/TSB funded project Trust Domains; worked in partnership with The University of Illinois at Urbana-Champaign on the NSA funded project Science of Security (SoS); worked in partnership with the UK Criminal Justice Board on a UK Home Office funded project to produce a platform for secure data sharing; and in partnership with Italy’s Intelligence System for the Security of the Republic on the CIPS funded project CYCLOPS. He has published several papers on methodologies and tools using probabilistic modelling aspects and ontologies for designing information security policies and understanding their impact on workflow completion. John holds both a BSc (1st Class) honours degree and PhD in Computing Science from Newcastle University.

Publications

  • Mansfield M, Morisset C, Gamble C, Mace JC, Pierce K, Fitzgerald J. Design Space Exploration for Secure Building Control. In: 16th Overture Workshop. 2018, Oxford University, UK.
  • Mace JC, Morisset C, Pierce K, Gamble C, Maple C, Fitzgerald J. A multi-modelling based approach to assessing the security of smart buildings. In: Living in the Internet of Things: Cybersecurity of the IoT. 2018, London, UK: Institution of Engineering and Technology.
  • Mace JC, Thekkummal N, Morisset C, VanMoorsel A. ADaCS: A tool for Analysing Data Collection Strategies. In: 14th European Performance Engineering Workshop (EPEW 2017). 2017, Berlin, Germany: Springer.
  • Mace JC, Morisset C, van Moorsel A. WRAD: Tool Support for Workflow Resiliency Analysis and Design. In: 8th international workshop on Software Engineering for Resilient Systems (SERENE 2016). 2016, Gothenburg, Sweden: Springer International Publishing.
  • Mace JC, Morisset C, van Moorsel A. Impact of policy design on workflow resiliency computation time. In: J Campos and B.R Haverkort, ed. Quantitative Evaluation of Systems. Springer International, 2015, pp.244-259.
  • Mace JC, Morisset C, van Moorsel A. Resiliency Variance in Workflows with Choice. In: A Fantechi and P Patrizio, ed. Software Engineering for Resilient Systems. Springer International, 2015, pp.128-143.
  • Mace JC, Morisset C, van Moorsel A. Modelling user availability in workflow resiliency analysis. In: HotSoS '15 Symposium and Bootcamp on the Science of Security. 2015, Urbana-Champaign, IL, USA: ACM.
  • Mace JC, Morisset C, van Moorsel A. Quantitative Workflow Resiliency. In: 19th European Symposium on Research in Computer Security. 2014, Wroclaw, Poland: Springer.
  • Mace JC, Moorsel AV, Watson P. The Case for Dynamic Security Solutions in Public Cloud Workflow Deployments. In: IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops (DSN-W). 2011, Hong Kong, China: IEEE.
  • Mace JC, Parkin S, Moorsel AV. A Collaborative Ontology Development Tool for Information Security Managers. In: Proceedings of the 4th symposium on computer human interaction for the management of information technology. 2010, San Jose, CA, USA: ACM.
  • Mace JC, Parkin SE, Moorsel AV. Ontology Editing Tool for Information Security and Human Factors Experts. In: International Conference on Knowledge Management and Information Sharing. 2010, Valencia, Spain: SciTePress.
  • Mace JC. Printer Identification Techniques and Their Privacy Implications. Newcastle upon Tyne: School of Computing Science, University of Newcastle upon Tyne, 2010. School of Computing Science Technical Report Series 1211.
  • Mace JC, Morisset C, Pierce K, Gamble C, Maple C, Fitzgerald J. A multi-modelling based approach to assessing the security of smart buildings. In: Living in the Internet of Things: Cybersecurity of the (IoT 2018). 2018, Institution of Engineering and Technology.