Professor Marius Portmann
Professor

Marius Portmann

Email: 
Phone: 
+61 7 336 51636

Background

Prof Portmann is the UQ-Cisco Chair of Network Security at the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ).

He received his PhD in Electrical Engineering from the Swiss Federal Institute of Technology (ETH) in Zürich in 2003. His research interests include Computer Networks, Cybersecurity, IoT (Internet of Things) and applied AI.

Availability

Professor Marius Portmann is:
Available for supervision

Fields of research

Communications engineering Distributed computing and systems software Engineering

Qualifications

  • Masters (Coursework) of Science, Swiss Federal Institute of Technology ETH Zürich
  • Doctor of Philosophy, Swiss Federal Institute of Technology ETH Zürich

Research interests

  • Cyber Security

    Machine Learning based Intrusion Detection

  • Computer Networks

    IoT Networks, Software Defined Networking (SDN)

  • Blockchain Technology

Search Professor Marius Portmann’s works on UQ eSpace

183 works between 2002 and 2025
All (183) Journal Article (58) Book Chapter (7) Conference Publication (100) Book (1) Other Outputs (17)

21 - 40 of 183 works

2023

Journal Article

XG-BoT: an explainable deep graph neural network for botnet detection and forensics

Lo, Wai Weng, Kulatilleke, Gayan, Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). XG-BoT: an explainable deep graph neural network for botnet detection and forensics. Internet of Things, 22 100747, 100747. doi: 10.1016/j.iot.2023.100747

XG-BoT: an explainable deep graph neural network for botnet detection and forensics

2023

Book

Self-powered Internet of Things : how energy harvesters can enable energy-positive sensing, processing, and communication

Sandhu, Muhammad Moid, Khalifa, Sara, Portmann, Marius and Jurdak, Raja (2023). Self-powered Internet of Things : how energy harvesters can enable energy-positive sensing, processing, and communication. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-27685-9

Self-powered Internet of Things : how energy harvesters can enable energy-positive sensing, processing, and communication

2023

Journal Article

Light-Weight ML Aided Autonomous IoT Networks

Ghosh, Sushmita, Mandal, Akash Kumar, De, Swades, Chatterjee, Shouri and Portmann, Marius (2023). Light-Weight ML Aided Autonomous IoT Networks. IEEE Communications Magazine, 61 (6), 51-57. doi: 10.1109/mcom.001.2200539

Light-Weight ML Aided Autonomous IoT Networks

2023

Conference Publication

Energy aware smart sensing and implementation in green air pollution monitoring system

Ghosh, Sushmita, Das, Payali, Murugesh, Shakthipriya, De, Swades, Chatterjee, Shouri and Portmann, Marius (2023). Energy aware smart sensing and implementation in green air pollution monitoring system. IEEE International Conference on Communications (IEEE ICC), Rome, Italy, 28 May - 1 June 2023. New York, NY, United States: IEEE. doi: 10.1109/icc45041.2023.10279138

Energy aware smart sensing and implementation in green air pollution monitoring system

2023

Other Outputs

NF-ToN-IoT

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-ToN-IoT. The University of Queensland. (Dataset) doi: 10.48610/2fa2ed6

NF-ToN-IoT

2023

Other Outputs

CIC-BoT-IoT

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marus (2023). CIC-BoT-IoT. The University of Queensland. (Dataset) doi: 10.48610/c80fccd

CIC-BoT-IoT

2023

Other Outputs

NF-BoT-IoT

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-BoT-IoT. The University of Queensland. (Dataset) doi: 10.48610/62e6d80

NF-BoT-IoT

2023

Other Outputs

CIC-ToN-IoT

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). CIC-ToN-IoT. The University of Queensland. (Dataset) doi: 10.48610/f6884ce

CIC-ToN-IoT

2023

Other Outputs

NF-ToN-IoT-v2

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-ToN-IoT-v2. The University of Queensland. (Dataset) doi: 10.48610/38a2d07

NF-ToN-IoT-v2

2023

Other Outputs

NF-UQ-NIDS-v2

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UQ-NIDS-v2. The University of Queensland. (Dataset) doi: 10.48610/631a24a

NF-UQ-NIDS-v2

2023

Other Outputs

NF-UNSW-NB15-v2

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UNSW-NB15-v2. The University of Queensland. (Dataset) doi: 10.48610/ffbb0c1

NF-UNSW-NB15-v2

2023

Other Outputs

NF-UNSW-NB15

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UNSW-NB15. The University of Queensland. (Dataset) doi: 10.48610/5d0832d

NF-UNSW-NB15

2023

Other Outputs

NF-BoT-IoT-v2

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-BoT-IoT-v2. The University of Queensland. (Dataset) doi: 10.48610/ec73920

NF-BoT-IoT-v2

2023

Other Outputs

NF-UQ-NIDS

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UQ-NIDS. The University of Queensland. (Dataset) doi: 10.48610/69b5a53

NF-UQ-NIDS

Featured

2023

Journal Article

Explainable cross-domain evaluation of ML-based network intrusion detection systems

Layeghy, Siamak and Portmann, Marius (2023). Explainable cross-domain evaluation of ML-based network intrusion detection systems. Computers and Electrical Engineering, 108 108692, 1-15. doi: 10.1016/j.compeleceng.2023.108692

Explainable cross-domain evaluation of ML-based network intrusion detection systems

Featured

2023

Journal Article

DI-NIDS: domain invariant network intrusion detection system

Layeghy, Siamak, Baktashmotlagh, Mahsa and Portmann, Marius (2023). DI-NIDS: domain invariant network intrusion detection system. Knowledge-Based Systems, 273 110626, 110626. doi: 10.1016/j.knosys.2023.110626

DI-NIDS: domain invariant network intrusion detection system

2023

Conference Publication

DOC-NAD: A hybrid deep one-class classifier for network anomaly detection

Sarhan, Mohanad, Kulatilleke, Gayan, Lo, Wai Weng, Layeghy, Siamak and Portmann, Marius (2023). DOC-NAD: A hybrid deep one-class classifier for network anomaly detection. 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), Bangalore, India, 1 - 4 May 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/ccgridw59191.2023.00016

DOC-NAD: A hybrid deep one-class classifier for network anomaly detection

2023

Journal Article

FusedAR: energy-positive human activity recognition using kinetic and solar signal fusion

Sandhu, Muhammad Moid, Khalifa, Sara, Geissdoerfer, Kai, Jurdak, Raja, Portmann, Marius and Kusy, Brano (2023). FusedAR: energy-positive human activity recognition using kinetic and solar signal fusion. IEEE Sensors Journal, 23 (11), 12411-12426. doi: 10.1109/jsen.2023.3268687

FusedAR: energy-positive human activity recognition using kinetic and solar signal fusion

2023

Journal Article

From zero-shot machine learning to zero-day attack detection

Sarhan, Mohanad, Layeghy, Siamak, Gallagher, Marcus and Portmann, Marius (2023). From zero-shot machine learning to zero-day attack detection. International Journal of Information Security, 22 (4), 947-959. doi: 10.1007/s10207-023-00676-0

From zero-shot machine learning to zero-day attack detection

2023

Journal Article

Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin

Lo, Wai Weng, Kulatilleke, Gayan K., Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Applied Intelligence, 53 (16), 1-12. doi: 10.1007/s10489-023-04504-9

Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin

Current funding

  • 2025 - 2027
    Mechanisms of Behaviour Change Theory
    ARC Discovery Projects
    Open grant
  • 2024 - 2025
    Customer electricity usage segmentation based on smart meter data
    Energy Queensland Limited
    Open grant

Past funding

  • 2022 - 2023
    Blockchain-based Event Ticketing System
    Innovation Connections
    Open grant
  • 2021 - 2024
    Reducing plate waste in hotels - which interventions are most effective?
    ARC Linkage Projects
    Open grant
  • 2019
    Machine Learning for Automated Network Anomaly Detection, Cyber Security and Analysis - Phase II
    Innovation Connections
    Open grant
  • 2018 - 2019
    Machine Learning for Automated Network Anomaly detection and Analysis
    Innovation Connections
    Open grant
  • 2018
    Smart Lending
    Commonwealth Bank of Australia
    Open grant
  • 2017 - 2020
    Software Defined Networking for the Internet of Things
    Data 61 - University Collaboration Agreement (DUCA)
    Open grant
  • 2015 - 2016
    Test bed for wide-area software defined networking research (ARC LIEF project administered by The University of New South Wales)
    University of New South Wales
    Open grant
  • 2006 - 2008
    Generic Platform for Peer-to-peer Networks and Applications
    UQ New Staff Research Start-Up Fund
    Open grant

Availability

Professor Marius Portmann is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

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