| Fog computing security: a review of current applications and security solutions S Khan, S Parkinson, Y Qin Journal of Cloud Computing 6, 1-22, 2017 | 437 | 2017 |
| Biometric systems utilising health data from wearable devices: applications and future challenges in computer security S Khan, S Parkinson, L Grant, N Liu, S Mcguire ACM Computing Surveys (CSUR) 53 (4), 1-29, 2020 | 65 | 2020 |
| Review into state of the art of vulnerability assessment using artificial intelligence S Khan, S Parkinson Guide to Vulnerability Analysis for Computer Networks and Systems: An …, 2018 | 39 | 2018 |
| Eliciting and utilising knowledge for security event log analysis: An association rule mining and automated planning approach S Khan, S Parkinson Expert Systems with Applications 113, 116-127, 2018 | 35 | 2018 |
| Discovering and utilising expert knowledge from security event logs S Khan, S Parkinson Journal of Information Security and Applications 48, 22, 2019 | 25 | 2019 |
| Password policy characteristics and keystroke biometric authentication S Parkinson, S Khan, A Crampton, Q Xu, W Xie, N Liu, K Dakin IET Biometrics 10 (2), 163-178, 2021 | 23 | 2021 |
| A survey on empirical security analysis of access-control systems: a real-world perspective S Parkinson, S Khan ACM Computing Surveys 55 (6), 1-28, 2022 | 19 | 2022 |
| Built environment attributes and crime: an automated machine learning approach K Dakin, W Xie, S Parkinson, S Khan, L Monchuk, K Pease Crime Science 9, 1-17, 2020 | 17 | 2020 |
| Identifying irregularities in security event logs through an object-based Chi-squared test of independence S Parkinson, S Khan Journal of Information Security and Applications 40, 52-62, 2018 | 15 | 2018 |
| Towards automated vulnerability assessment S Khan, S Parkinson | 14 | 2017 |
| Chemically modified hydrate swapping and hydrate stability during multistage CO2-N2 injection schemes JS Pandey, S Khan, AP Karcz, N von Solms Fuel 299, 120711, 2021 | 10 | 2021 |
| Causal connections mining within security event logs S Khan, S Parkinson Proceedings of the 9th Knowledge Capture Conference, 1-4, 2017 | 9 | 2017 |
| Identifying high-risk over-entitlement in access control policies using fuzzy logic S Parkinson, S Khan Cybersecurity 5 (1), 1-17, 2022 | 7 | 2022 |
| Screening of low-dosage methanol as a hydrate promoter JS Pandey, S Khan, N von Solms Energies 15 (18), 6814, 2022 | 7 | 2022 |
| Security auditing in the fog S Parkinson, Y Qin, S Khan, M Vallati Proceedings of the Second International Conference on Internet of things …, 2017 | 6 | 2017 |
| Creeper: a tool for detecting permission creep in file system access controls S Parkinson, S Khan, J Bray, D Shreef Cybersecurity 2 (1), 14, 2019 | 5 | 2019 |
| A multi-layered cloud protection framework S Khan, S Parkinson, A Crampton Companion Proceedings of the10th International Conference on Utility and …, 2017 | 5 | 2017 |
| A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats R Mubarak, T Alsboui, O Alshaikh, I Inuwa-Dute, S Khan, S Parkinson IEEE Access, 2023 | 4 | 2023 |
| An empirical analysis of keystroke dynamics in passwords: A longitudinal study S Parkinson, S Khan, AM Badea, A Crampton, N Liu, Q Xu IET Biometrics 12 (1), 25-37, 2023 | 4 | 2023 |
| Towards a multi-tiered knowledge-based system for autonomous cloud security auditing SU Khan, S Parkinson Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 3 | 2017 |
Simon ParkinsonProfessor, University of Huddersfield & UK Government Cyber Security Advisory Board (GCSAB) MemberDirección de correo verificada de hud.ac.uk
