Organisation profile
Organisation profile
The Centre for Cyber Security (CCS) at Huddersfield aims to develop and demonstrate advanced knowledge beneficial to understanding and mitigating cyber threats.
Headed by Dr Simon Parkinson, the CCS at the University of Huddersfield has world-leading expertise in the analysis of cyber security vulnerabilities, as well as developing mitigation techniques. One key focus of the group is in the development and use of intelligent cyber security mechanisms, particularly those involving the use of Artificial Intelligence.
We work closely with industrial and academic partners to ensure that our research provides maximum benefit to technology users, from large SMEs to public citizens.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
Profiles
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Mohammed Al-Mhiqani
- Department of Computer Science - Lecturer in Cyber Security
- School of Computing and Engineering
- Centre for Cybersecurity - Member
Person: Academic
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Andrew Crampton
- Department of Computer Science - Professor
- Centre for Planning, Autonomy and Representation of Knowledge - Member
- Centre for Autonomous and Intelligent Systems - Member
- Centre for Cybersecurity - Affiliate
Person: Academic
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Anju Johnson
- Department of Computer Science - Senior Lecturer in Computer Science
- School of Computing and Engineering
- Centre for Planning, Autonomy and Representation of Knowledge - Member
- Centre for Thermofluids, Energy Systems and High-Performance Computing - Member
- Centre for Biomimetic Societal Futures
- Centre for Cybersecurity - Affiliate
- Centre for Autonomous and Intelligent Systems - Member
Person: Academic
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A hybrid neural-symbolic approach for the longitudinal profiling of coercive control in digital investigations
Patel, D., Parsa, S. & Johnson, A. P., 1 Mar 2026, In: Forensic Science International: Digital Investigation. 56, 15 p., 302074.Research output: Contribution to journal › Article › peer-review
Open Access -
A Novel OCPP-Centric Hybrid Testbed and Dataset for EV Charging Infrastructure Security Threats Feasibility
Odimegwu, R., Syed, M. A., Al-Mhiqani, M., Djahel, S. & Assi, C., 21 Jan 2026, 2025 International Conference on Meta-Networking (MEET). IEEE, 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Privacy-Aware Federated Learning Approach for Insider Threat Detection
Abbasi, N., Al-Mhiqani, M., Al-Aqrabil, H. & Aoudi, S., 28 Jan 2026, 2025 10th International Conference on Information Technology Trends (ITT). 1st ed. IEEE, p. 100-105 6 p. 11352913Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Projects
- 2 Finished
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Centre for Biominetic Societal Futures
Towns-Andrews, L. (PI), Kusev, P. (CoI), Kara, A. (CoI), Herath, D. (CoI), Validi, S. (CoI), Jabbar, A. (CoI), Nikitas, A. (CoI), Roper, S. (CoI), Ginger, M. (CoI), Phillips, R. (CoI), Du, C. (CoI), Amaratunga, D. (CoI), Haigh, R. (CoI), Murphy, A. (CoI), Hill, R. (CoI), Parkinson, S. (CoI), Johnson, A. (CoI), Bryan, H. (CoI), Thomas, P. (CoI), McIntyre, D. (CoI), Jeffries, L. (CoI), Bailey, R. (CoI), Townsley, J. (CoI), Unver, E. (CoI), Goswami, P. (CoI), Roach, J. (CoI), Grimm, V. (CoI), Worley, C. (CoI), Siebers, P.-O. (CoI), Bardone, E. (CoI), Madsen, J. K. (CoI), Neumann, M. (CoI), Seri, R. (CoI), Durrant, R. (CoI), Wortley, R. (CoI), Sidebottom, A. (CoI), Ekblom, P. (CoI), Pease, K. (CoI), Taylor, M. (CoI), Silke, A. (CoI), Dewandre, N. (CoI) & Hemachandra, K. (CoI)
1/10/21 → 30/09/24
Project: Research
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This project focuses on developing additional functionality in the form of business intelligence. Machine learning tools such as Artificial Neural Networks, Classifications Networks, Clustering and Support Vector Machines will be used to develop predictive analytics for big data in order to deliver simulation, modelling and optimisation solutions for advanced manufacturing businesses
Crampton, A. (PI), Peace, B. (Company Owner) & Gleeson, S. (Company Supervisor)
2/10/18 → 5/08/22
Project: Research
Activities
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Automated Learning and Exploitation of Action-Based Domain Models from Heterogeneous Security Event Data
Parkinson, S. (Invited speaker)
24 May 2025Activity: Talk or presentation types › Invited talk
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3rd International Conference on Big Data Modeling and Optimization
Parkinson, S. (Member of programme committee)
9 Oct 2024 → 11 Oct 2024Activity: Participating in or organising an event types › Participating in a conference, workshop, ...
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7th International Conference on Information, Networks and Communications
Parkinson, S. (Member of programme committee)
9 Oct 2024 → 11 Oct 2024Activity: Participating in or organising an event types › Participating in a conference, workshop, ...
Press/Media
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Huddersfield researchers develop AI tool to uncover hidden patterns of psychological abuse
Patel, D. & Johnson, A.
25/03/26
1 Media contribution
Press/Media: Research
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Hybrid AI tool unmasks hidden digital abuse to transform forensic investigations
Patel, D. & Johnson, A.
25/03/26
1 Media contribution
Press/Media: Research
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