Publication detail

Specific Anomaly Detection Method in Wireless Communication Networks

HOLASOVÁ, E. FUJDIAK, R. KUCHAŘ, K.

Original Title

Specific Anomaly Detection Method in Wireless Communication Networks

Type

conference paper

Language

English

Original Abstract

Wireless networks, especially the IEEE 802.11 standards family, are one of the main components of today’s communication. Addressing cybersecurity in these networks is crucial because of the ever-increasing number of attacks and newly discovered vulnerabilities. For this reason, the article deals with the vulnerability of security protocols used in IEEE 802.11. We concentrate on intrusion detection methods and detection of general security incidents. The presented results show that the methods may find application, among other things, in detection and prevention systems.

Keywords

Anomalies, IEEE 802.11, wireless networks, detection, IDS Zeek, machine learning

Authors

HOLASOVÁ, E.; FUJDIAK, R.; KUCHAŘ, K.

Released

23. 10. 2020

ISBN

978-0-7381-4292-0

Book

4th Cyber Security in Networking Conference

Pages from

1

Pages to

3

Pages count

3

BibTex

@inproceedings{BUT165741,
  author="Eva {Holasová} and Radek {Fujdiak} and Karel {Kuchař}",
  title="Specific Anomaly Detection Method in Wireless Communication Networks",
  booktitle="4th Cyber Security in Networking Conference",
  year="2020",
  pages="1--3",
  doi="10.1109/CSNet50428.2020.9265533",
  isbn="978-0-7381-4292-0"
}