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Preventing Attacks on Wireless Networks Using SDN Controlled OODA Loops and Cyber Kill Chains.

Paul Zanna1, Peter Radcliffe1, Dinesh Kumar1

  • 1School of Electrical and Electronic Engineering, RMIT University, Melbourne, VIC 3000, Australia.

Sensors (Basel, Switzerland)
|December 11, 2022
PubMed
Summary

This study introduces a new method to detect and stop wireless network impersonation attacks using Observe-Orientate-Decide-Act (OODA) loops and Cyber Kill Chain (CKC) strategies, achieving high detection rates and neutralizing all tested attacks.

Keywords:
IEEE 802.11P4denial-of-servicesecuritysoftware defined networkingwifi

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Wireless Networking

Background:

  • Impersonation attacks pose a significant threat to wireless network security.
  • Existing detection methods struggle with these attacks as they use legitimate network functions.
  • Novel approaches are needed for effective detection and neutralization.

Purpose of the Study:

  • To propose and evaluate a novel algorithm for detecting and neutralizing wireless network impersonation attacks.
  • To leverage Observe-Orientate-Decide-Act (OODA) loop and Cyber Kill Chain (CKC) strategies for enhanced security.
  • To develop a system compliant with IEEE 802.11 without requiring client-side modifications.

Main Methods:

  • Implemented a Radio Frequency (RF) device identification system and an attack state machine.
  • Utilized Software Defined Networking (SDN) architecture and the P4 programming language for system implementation.
  • Conducted experiments with four distinct impersonation attack methods on a controlled network setup.

Main Results:

  • The Radio Frequency (RF) identification component achieved an average detection rate of 97.5% for impersonated frames.
  • The proposed system successfully neutralized all tested wireless impersonation attacks across four different scenarios.
  • The technique demonstrated effectiveness without necessitating any modifications to client devices.

Conclusions:

  • The developed algorithm, integrating OODA loops and CKC methodology with SDN and P4, is effective for real-time detection and prevention of wireless impersonation attacks.
  • The system's high detection rate and complete neutralization of attacks validate its efficacy.
  • This approach offers a robust solution for securing wireless networks against sophisticated impersonation threats.