Performance Analysis and Comparison of Anomaly-based Intrusion Detection in Vehicular Ad hoc Networks
Loading...
Date
2020-12
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Altmetrics
Abstract
Security and safety applications of Vehicular Ad hoc Networks (VANETs) are developed to improve the traffic flow. While safety applications in VANETs provide warnings and information for the vehicle and other units in the area, malicious behaviors can render this very purpose meaningless. Intrusion Detection Systems (IDSs) are key features for identifying the presence of faulty or malicious behaviors. Support Vector Machine (SVM) is an efficient tool for anomaly detection and it can be employed for intrusion detection based on the metrics of a known attack or normal behavior. Dropping and or delaying network packets are two of the most common variants among other methods in Denial of Service (DoS) attacks. Hence an IDS which can detect both variants can detect similar types of DoS attacks. The result of the study is obtained by designing and implementing an SVM detection module into computer-generated simulation, which depicts a successful outcome in detection of mentioned DoS attack variants.
Description
Citation
Radioengineering. 2020 vol. 29, č. 4, s. 664-671. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2020/20_04_0664_0671.pdf
https://www.radioeng.cz/fulltexts/2020/20_04_0664_0671.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en