Centre for Cybersecurity

  • United Kingdom

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.

Access control Engineering & Materials Science
Computer forensics Engineering & Materials Science
Planning Engineering & Materials Science
Hardware Engineering & Materials Science
Crime Engineering & Materials Science
Association rules Engineering & Materials Science
research process Social Sciences
social media Social Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2018 2019

Computer forensics
research process
research method

Classifying Ransomware Using Machine Learning Algorithms

Egunjobi, S., Parkinson, S. & Crampton, A., 29 Aug 2019, (Accepted/In press) 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). 8 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Learning algorithms
Learning systems

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 journalArticle