In this study are provided results about performance evaluation of Emergent Self-Organizing Map-based Intrusion Detection System in simulated wireless network environment. The experiment included detection of various network intrusions, including DoS, Probe, R2L, and U2R attacks. The results show that DoS (95%) and Probe (88%) attacks had the higher detection rates, while R2L (75%) and U2R (70%) attacks had the lower detection rates. The evaluated system demonstrated a low false positive rate of 5% and quick response times for overt attacks (2 seconds), though response times increased for covert attacks (4 seconds). During the experiment, the amount of used calculation resources was considerably high - the average CPU utilization was 70% and 80%, respectively. The results show that in order to effectively use this type of Intrusion Detection System for real company network security, there is need for further optimization
Simeonidis, D., et al. Performance and Accuracy Assessment of Detecting Network Intrusions with eSOM-Based Techniques. New York: Institute of Electrical and Electronics Engineers, 2024 pp. 586-591, ISBN 979-8-3503-5391-4 (print) ; 979-8-3503-5390-7.
Simeonidis, D., et al. Performance and Accuracy Assessment of Detecting Network Intrusions with eSOM-Based Techniques. New York: Institute of Electrical and Electronics Engineers, 2024 pp. 586-591, ISBN 979-8-3503-5391-4 (print) ; 979-8-3503-5390-7.
Simeonidis, D., et al. (2024) Performance and Accuracy Assessment of Detecting Network Intrusions with eSOM-Based Techniques, New York: Institute of Electrical and Electronics Engineers pp. 586-591, ISBN 979-8-3503-5391-4 (print) ; 979-8-3503-5390-7.
Simeonidis, D., & et al. (2024). Performance and Accuracy Assessment of Detecting Network Intrusions with eSOM-Based Techniques. New York: Institute of Electrical and Electronics Engineers, pp. 586-591.
Simeonidis D, et A. Performance and Accuracy Assessment of Detecting Network Intrusions with eSOM-Based Techniques. New York: Institute of Electrical and Electronics Engineers; 2024. p. pp. 586-591. ISBN: ISBN 979-8-3503-5391-4 (print) ; 979-8-3503-5390-7.
