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Towards 5G Intrusion Detection Scenarios with OMNeT++

8 pagesPublished: December 10, 2019


We implement an intrusion detection application to investigate the security capabilities of Software Defined Networking (SDN) in a 5G-like environment under Distributed Denial- of-Service (DDoS) attacks. The simulation environment is created in OMNeT++ with a novel integration of two OMNeT++ extension libraries, SimuLTE and OpenFlow OM- NeT++ Suite. The 5G-like environment enables vast and diverse testing of 5G topologies, as well as performance analysis of SDN security applications with various detection and mitigation methods. We analyze distributed synchronize (SYN) flood attack performed by compromised nodes. We report our findings about the sensitivity and the specificity of detection and mitigation of SYN flood for different number of attack and benign nodes.

Keyphrases: 5G, DDoS attack, Intrusion Detection, SDN, SYN flood attack

In: Meyo Zongo, Antonio Virdis, Vladimir Vesely, Zeynep Vatandas, Asanga Udugama, Koojana Kuladinithi, Michael Kirsche and Anna Förster (editors). Proceedings of 6th International OMNeT++ Community Summit 2019, vol 66, pages 44--51

BibTeX entry
  author    = {Katina Kralevska and Michele Garau and Mathias F\{\textbackslash{}o\}rland and Danilo Gligoroski},
  title     = {Towards 5G Intrusion Detection Scenarios with OMNeT++},
  booktitle = {Proceedings of 6th International OMNeT++ Community Summit 2019},
  editor    = {Meyo Zongo and Antonio Virdis and Vladimir Vesely and Zeynep Vatandas and Asanga Udugama and Koojana Kuladinithi and Michael Kirsche and Anna F\textbackslash{}"orster},
  series    = {EPiC Series in Computing},
  volume    = {66},
  pages     = {44--51},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair,},
  issn      = {2398-7340},
  url       = {},
  doi       = {10.29007/2jg6}}
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