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Marius Portmann
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Netflow datasets for machine learning-based network intrusion detection systems
M Sarhan, S Layeghy, N Moustafa, M Portmann
Big Data Technologies and Applications: 10th EAI International Conference …, 2021
3422021
Towards a standard feature set for network intrusion detection system datasets
M Sarhan, S Layeghy, M Portmann
Mobile networks and applications, 1-14, 2022
2532022
E-graphsage: A graph neural network based intrusion detection system for iot
WW Lo, S Layeghy, M Sarhan, M Gallagher, M Portmann
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2022
2502022
Wireless mesh networks for public safety and crisis management applications
M Portmann, AA Pirzada
Internet Computing, IEEE 12 (1), 18-25, 2008
2232008
Efficient topology discovery in software defined networks
F Pakzad, M Portmann, WL Tan, J Indulska
2014 8th international conference on signal processing and communication …, 2014
1542014
Efficient topology discovery in OpenFlow-based software defined networks
F Pakzad, M Portmann, WL Tan, J Indulska
Computer Communications 77, 52-61, 2016
1172016
Evaluation of multi-radio extensions to AODV for wireless mesh networks
AA Pirzada, M Portmann, J Indulska
Proceedings of the 4th ACM international workshop on Mobility management and …, 2006
1132006
Feature extraction for machine learning-based intrusion detection in IoT networks
M Sarhan, S Layeghy, N Moustafa, M Gallagher, M Portmann
Digital Communications and Networks, 2022
1062022
Anomal-E: A self-supervised network intrusion detection system based on graph neural networks
E Caville, WW Lo, S Layeghy, M Portmann
Knowledge-Based Systems 258, 110030, 2022
1022022
The (in) security of topology discovery in software defined networks
T Alharbi, M Portmann, F Pakzad
2015 IEEE 40th Conference on Local Computer Networks (LCN), 502-505, 2015
992015
A process algebra for wireless mesh networks
A Fehnker, R Van Glabbeek, P Höfner, A McIver, M Portmann, WL Tan
Programming Languages and Systems: 21st European Symposium on Programming …, 2012
962012
Task scheduling for energy-harvesting-based IoT: A survey and critical analysis
MM Sandhu, S Khalifa, R Jurdak, M Portmann
IEEE Internet of Things Journal 8 (18), 13825-13848, 2021
942021
Automated analysis of AODV using UPPAAL
A Fehnker, R Van Glabbeek, P Höfner, A McIver, M Portmann, WL Tan
Tools and Algorithms for the Construction and Analysis of Systems: 18th …, 2012
842012
Cost-effective broadcast for fully decentralized peer-to-peer networks
M Portmann, A Seneviratne
Computer Communications 26 (11), 1159-1167, 2003
792003
Cyber threat intelligence sharing scheme based on federated learning for network intrusion detection
M Sarhan, S Layeghy, N Moustafa, M Portmann
Journal of Network and Systems Management 31 (1), 3, 2023
782023
The cost of peer discovery and searching in the gnutella peer-to-peer file sharing protocol
M Portmann, P Sookavatana, S Ardon, A Seneviratne
Networks, 2001. Proceedings. Ninth IEEE International Conference on, 263-268, 2001
772001
MARCH: A distributed content adaptation architecture
S Ardon, P Gunningberg, B Landfeldt, Y Ismailov, M Portmann, ...
International Journal of Communication Systems 16 (1), 97-115, 2003
762003
Feature analysis for machine learning-based IoT intrusion detection
M Sarhan, S Layeghy, M Portmann
arXiv preprint arXiv:2108.12732, 2021
722021
Evaluating standard feature sets towards increased generalisability and explainability of ML-based network intrusion detection
M Sarhan, S Layeghy, M Portmann
Big Data Research 30, 100359, 2022
712022
Securing wireless mesh networks
S Glass, M Portmann, V Muthukkumarasamy
IEEE Internet Computing 12 (4), 30-36, 2008
712008
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