Research Output per year
Organization profile
Profile Information
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.
Fingerprint Dive into the research topics where Centre for Cybersecurity is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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Engineering & Materials Science
Computer forensics
Engineering & Materials Science
Planning
Engineering & Materials Science
Hardware
Engineering & Materials Science
Crime
Engineering & Materials Science
Information Security
Mathematics
Association rules
Engineering & Materials Science
Anomaly Detection
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Andrew Crampton
- School of Computing and Engineering - Associate Dean - Teaching and Learning
- Department of Computer Science
- Centre for Cybersecurity - Member
- Centre for Planning, Autonomy and Representation of Knowledge
Person: Academic
Reza Montasari
- Department of Computer Science - Senior Lecturer in Cyber Security
- School of Computing and Engineering
- Centre for Industrial Analytics
- Centre for Cybersecurity - Co Director
Person: Academic
Research Output 2018 2019
A road map for digital forensics research: a novel approach for establishing the design science research process in digital forensics
Montasari, R., Carpenter, V. & Hill, R., Jun 2019, In : International Journal of Electronic Security and Digital Forensics. 11, 2, p. 194-224 31 p.Research output: Contribution to journal › Article
Computer forensics
research process
science
Standardization
research method
Classifying Ransomware Using Machine Learning Algorithms
Egunjobi, S., Parkinson, S. & Crampton, A., 24 Oct 2019, Intelligent Data Engineering and Automated Learning - IDEAL 2019: 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II . Yin, H., Camacho, D., Tino, P., Tallón-Ballesteros, A. J., Menezes, R. & Allmendinger, R. (eds.). Cham: Springer International Publishing, Vol. LNCS11872. p. 45-52 8 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Learning algorithms
Learning systems
Malware
Countermeasures for timing-based side-channel attacks against shared, modern computing hardware
Montasari, R., Hill, R., Hosseinian-far, A. & Montaseri, F., 1 Jul 2019, In : International Journal of Electronic Security and Digital Forensics. 11, 3, p. 294-320 27 p.Research output: Contribution to journal › Article
hardware
Hardware
compromise
vulnerability
threat