Staffordshire University logo
STORE - Staffordshire Online Repository

Items where Author is "HASSAN, Mohamed"

Up a level
Export as [feed] Atom [feed] RSS
[tool] Batch List
Group by: Item Type | No Grouping
Number of items: 4.

Article

Nixon, Christopher, SEDKY, Mohamed and HASSAN, Mohamed (2019) Practical Application of Machine Learning based Online Intrusion Detection to Internet of Things Networks. Proceedings of the 2019 IEEE Global Conference on Internet of Things (GCIoT). (In Press)

HASSAN, Mohamed, MYLONAS, Alexios and Vidalis, Stilianos (2016) When Biology Meets Cybersecurity: A Review. Journal of Information Systems Security, 12 (3). pp. 177-199. ISSN 1551-0123

Book Chapter, Section or Conference Proceeding

Nixon, Christopher, SEDKY, Mohamed and HASSAN, Mohamed (2020) Autoencoders: A Low Cost Anomaly Detection Method for Computer Network Data Streams. In: Proceedings of the 2020 4th International Conference on Cloud and Big Data Computing. International Conference Proceeding Series (ICPS) . Association for Computing Machinery, New York, pp. 58-62. ISBN 978-1-4503-7538-2

Conference or Workshop Item

Pantaleon, Lutta and HASSAN, Mohamed (2017) An Investigation into the Impact of Rooting Android Device on User Data Integrity. In: Seventh IEEE International Conference on Emerging Security Technologies, 6-8 September 2017, Canterbury, UK.

This list was generated on Mon Jan 18 17:10:04 2021 UTC.

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000