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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2018 | 2017 | 2016
Number of items: 5.

2018

Hindy, Hanan and Hodo, Elike and Bayne, Ethan and Seeam, Amar and Atkinson, Robert and Bellekens, Xavier; (2018) A taxonomy of malicious traffic for intrusion detection systems. In: 2018 International Conference on Cyber Situational Awareness, Data Analytics and Assessment, CyberSA 2018. Institute of Electrical and Electronics Engineers Inc., GBR. ISBN 9781538645659

2017

Hodo, Elike and Bellekens, Xavier and Iorkyase, Ephraim and Hamilton, Andrew and Tachtatzis, Christos and Atkinson, Robert (2017) Machine learning approach for detection of non-Tor Traffic. Journal of Cyber Security and Mobility, 6 (2). pp. 171-194. 4. ISSN 2245-4578

Hodo, Elike and Bellekens, Xavier and Iorkyase, Ephraim and Hamilton, Andrew and Tachtatzis, Christos and Atkinson, Robert; (2017) Machine learning approach for detection of nonTor traffic. In: ARES '17 Proceedings of the 12th International Conference on Availability, Reliability and Security. ACM, New York. ISBN 9781450352574

Hodo, Elike and Bellekens, Xavier and Hamilton, Andrew and Tachtatzis, Christos and Atkinson, Robert (2017) Shallow and deep networks intrusion detection system : a taxonomy and survey. Preprint / Working Paper. arXiv.org, Ithaca, N.Y..

2016

Hodo, Elike Komi and Bellekens, Xavier and Hamilton, Andrew and Dubouilh, Pierre-Louis and Iorkyase, Ephraim Tersoo and Tachtatzis, Christos and Atkinson, Robert (2016) Threat analysis of IoT networks using artificial neural network intrusion detection system. In: International Symposium on Networks, Computers and Communications, 2016-05-11 - 2016-05-13, Tunisia.

This list was generated on Thu Nov 21 12:19:13 2024 GMT.