HASSAN, Mohamed

Pantaleon, Lutta, SEDKY, Mohamed, HASSAN, Mohamed, Uchitha, Jayawickrama and Bastaki, Benhur (2021) The Complexity of Internet of Things Forensics: A State-of-the-Art Review. Forensic Science International: Digital Investigation, 38 (Sept). ISSN 2666-2817

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

Pantaleon, Lutta, Sedky, Mohamed and Hassan, Mohamed (2020) The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics. In: ICESDF 2020 : International Conference on Electronic Security and Digital Forensics, 29 June 2020, London. (Unpublished)

Nixon, Christopher, SEDKY, Mohamed and HASSAN, Mohamed (2020) Practical Application of Machine Learning based Online Intrusion Detection to Internet of Things Networks. In: Proceedings of the 2019 IEEE Global Conference on Internet of Things (GCIoT). IEEE.

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.

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