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Research interests

Dr Mamoun Qasem is a lecturer in cyber security. His research interests include IoT Security, Defending Systems from Cyber Threats in general and in an autonomous vehicle in particular, wireless sensor networks, RPL (IPv6 Routing Protocol for LLNs), and Threat Hunting.

Mamoun’s findings in RPL jointly with Huawei Company have been recognized internationally by the standard body Internet Engineering Take Force (IETF). His findings have been published in top journals including IEEE Communications Letters, and in prestigious international conferences including IEEE WCNC, IEEE CSCN, IEEE CIT/IUCC/DASC/PICOM,  and two chapter books in Computer Science, Springer.

Dr Qasem has worked on several projects Reliable Internet of Things based monitoring & Surveillance in Oil & Gas Fields (RsIoT) and is currently supervising a KESS PhD student in collaboration with Thales Ltd to Quantifying the Effects of Adversarial Deception Methods in Defending Complex Systems from Cyber Threats. 

Mamoun is an active reviewer in different journals such as Elsevier Computer Networks and CFATI and has delivered a talk as an invited speaker by British Council at UK-Kuwait Cyber Security Education & Research Conference (CERC19). He also serves as a coordinator of multiple international conference workshops, including the ICSOC, CFATI. 

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  • Cyber Security Education and Future Provision

    Davies, G., Qasem, M. & Elmesiry, A., 30 May 2021, Lecture Notes in Computer Science. Hacid, H., Outay, F., Paik, H., Alloum, A., Petrocchi, M., Bouadjenek, M. R., Beheshti, A., Liu, X. & Maaradji, A. (eds.). Service-Oriented Computing – ICSOC 2020 Workshops: Springer, Vol. 12632. p. 612-626 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12632 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • Efficient Threat Hunting Methodology for Analyzing Malicious Binaries in Windows Platform

    Elmesiry, A., Sertovic, M. & Qasem, M., 30 May 2021, Lecture Notes in Computer Science. Hacid, H., Outay, F., Paik, H., Alloum, A., Petrocchi, M., Bouadjenek, M. R., Beheshti, A., Liu, X. & Maaradji, A. (eds.). 1 ed. Service-Oriented Computing – ICSOC 2020 Workshops: Springer, Vol. 12632. p. 627-641 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12632 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • Addressing the DAO Insider Attack in RPL’s Internet of Things Networks

    Ghaleb, B., Al-Dubai, A., Ekonomou, E., Qasem, M., Romdhani, I. & Mackenzie, L., 1 Jan 2019, In: IEEE Communications Letters. 23, 1, p. 68-71

    Research output: Contribution to journalArticlepeer-review

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  • A new efficient objective function for routing in Internet of Things paradigm

    Qasem, M., Al-dubai, A., Romdhani, I., Ghaleb, B. & Gharibi, W., 31 Oct 2016, 2016 IEEE Conference on Standards for Communications and Networking (CSCN). Berlin, Germany: Institute of Electrical and Electronics Engineers, 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Trickle-plus: Elastic Trickle algorithm for low-power networks and Internet of Things

    Ghaleb, B., Al-dubai, A., Ekonomou, E., Paechter, B. & Qasem, M., 3 Apr 2016, p. 1-6.

    Research output: Contribution to conferencePaperpeer-review