Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Browse by All Cardiff Authors

[up] Up a level
Number of items: 5.

Nunes, Matthew ORCID: https://orcid.org/0000-0003-1990-5814, Burnap, Peter ORCID: https://orcid.org/0000-0003-0396-633X, Reinecke, Philipp ORCID: https://orcid.org/0000-0002-2411-0891 and Lloyd, Kaelon 2022. Bane or boon: measuring the effect of evasive malware on system call classifiers. Journal of Information Security and Applications 67 , 103202. 10.1016/j.jisa.2022.103202
file

Nunes, Matthew ORCID: https://orcid.org/0000-0003-1990-5814, Burnap, Peter ORCID: https://orcid.org/0000-0003-0396-633X, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, Reinecke, Philipp ORCID: https://orcid.org/0000-0002-2411-0891 and Lloyd, Kaelon 2019. Getting to the root of the problem: A detailed comparison of kernel and user level data for dynamic malware analysis. Journal of Information Security and Applications 48 , 102365. 10.1016/j.jisa.2019.102365
file

Lloyd, Kaelon 2018. Applying computer analysis to detect and predict violent crime during night time economy hours. PhD Thesis, Cardiff University.
Item availability restricted.
filefile

Lloyd, Kaelon, Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884, Marshall, Andrew D. ORCID: https://orcid.org/0000-0003-2789-1395 and Moore, Simon C. ORCID: https://orcid.org/0000-0001-5495-4705 2017. Violent behaviour detection using local trajectory response. Presented at: 7th International Conference on Imaging for Crime Detection and Prevention, Madrid, Spain, 23-25 November 2016. 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016). IET Seminar Digests 2016/0006 Institution of Engineering and Technology, pp. 78-83. 10.1049/ic.2016.0082
file

Lloyd, Kaelon, Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884, Marshall, David ORCID: https://orcid.org/0000-0003-2789-1395 and Moore, Simon C. ORCID: https://orcid.org/0000-0001-5495-4705 2017. Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures. Machine Vision and Applications 28 , pp. 361-371. 10.1007/s00138-017-0830-x
file

This list was generated on Sun Nov 9 11:41:16 2025 GMT.


Maintained by Cardiff University IT