The paper won Best Paper Award at the 2024 IFIP Networking Conference (IFIP Networking)
In this work, we develop Inter-slice defender, a novel Long Short-Term Memory (LSTM)-Autoencoder-based anomaly detection solution, tailored to detect DSM attacks. Inter-slice Defender leverages 3GPP Key Performance Indicators and Performance Measurement counters to detect two variations of the DSM attack.
Our experimental results are based on DSM attacks simulations performed on a 5G testbed employing the opensource Free5GC testbed and UERANSIM simulator.
Full abstract in IEEEXplore DOI:10.23919/IFIPNetworking62109.2024.10619850
Authors
- Ricardo Misael Ayala Molina, Concordia University, Canada
- Nathalie Wehbe, Concordia University, Canada
- Hyame Assem Alameddine, Ericsson Research, Canada
- Makan Pourzandi, Ericsson Research, Canada
- Chadi Assi, Concordia University, Canada
© IFIP, (2024). This is the author's version of the work. It is posted here by permission of IFIP for your personal use. Not for redistribution. The definitive version was published in 2024 IFIP Networking Conference (IFIP Networking), https://networking.ifip.org/2024/