Přístupnostní navigace
E-application
Search Search Close
Publication detail
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
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" }