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Dr Neil Eliot

Senior Lecturer

Department: Computer and Information Sciences

EE Neileliot Staffprofile 255Neil obtained his BSc in Computing in 1991 and his PgC in Computer Science in 1992 from Northumbria University while working for the NHS. He later moved into the Chemical Industry until joining Northumbria University as an Academic in 1998.

He started as a Lecturer and soon became a Senior lecturer teaching mainly in the programming and databases subject areas. During that time he also took a 5-year secondment to work on the Universities e-Business project as a Principal Lecturer (CTO) and returned to the faculty in 2009 to resume his role as a Senior Lecturer.

He became a Certified Ethical hacker in 2014 and completed his PhD in 2017.

Neil now teaches Operating Systems, Cybersecurity and is an active researcher in the areas of Swarm Theory and Cybersecurity. 


Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Enhancing Smart Home Threat Detection with Artificial Intelligence, Ibarra, J., Butt, U., Bouridane, A., Eliot, N., Jahankhani, H. 18 Jun 2021, Cybersecurity, Privacy and Freedom Protection in the Connected World, Cham, Springer
  • Privacy and Security Aspects of E-government in Smart Cities, Yang, L., Nnko, N., Eliot, N. 1 Jan 2019, Cybersecurity and Privacy for Smart Cities, Amsterdam, Elsevier
  • Void Reduction in Self-Healing Swarms, Eliot, N., Kendall, D., Brockway, M., Moon, A., Amos, M. Jul 2019, ALIFE 2019, London, The MIT Press
  • A Flexible Laboratory Environment Supporting Honeypot Deployment for Teaching Real-World Cybersecurity Skills, Eliot, N., Kendall, D., Brockway, M. 26 Jun 2018, In: IEEE Access
  • A New Metric for the Analysis of Swarms using Potential Fields, Eliot, N., Kendall, D., Brockway, M. 14 Nov 2018, In: IEEE Access

PGR Supervision

  • Jaime Ibarra Jimenez Usage of Machine Learning to enhance Security and Privacy over Digital Forensic Investigation applied within IoT environments Start Date: 01/09/2021
  • Lucky Singh Application of AI and machine learning methodologies to improve the current profiling and decision making in security and network infrastructure components. Start Date: 01/10/2021
  • Jon Cosson Threat profiling of an authenticated user - Harvesting the digital footprints and characteristics of an authenticated individual to determine non-repudiation and potential unauthorised access to a trusted system. Start Date: 01/06/2019


  • Computer Science PhD December 01 2017
  • Computing Other Qualification May 01 2015
  • Computing PGDip June 30 1994
  • Senior Fellow (SFHEA) Higher Education Academy (HEA) 2014
  • Certified Ethical Hacker CEH

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