EVALUATIONS OF THE EFFECTIVENESS OF ANOMALY BASED INTRUSION DETECTION SYSTEMS BASED ON AN ADAPTIVE KNN ALGORITHM
EVALUATIONS OF THE EFFECTIVENESS OF ANOMALY BASED INTRUSION DETECTION SYSTEMS BASED ON AN ADAPTIVE KNN ALGORITHM
Author(s): Evgeniya Nikolova, Veselina JechevaSubject(s): Information Architecture, Electronic information storage and retrieval
Published by: Бургаски свободен университет
Keywords: Intrusion Detection; Anomaly Based IDS; k-Nearest Neighbor algorithm.
Summary/Abstract: The aim of the present paper is to present some evaluations of the effectiveness of IDS based on the k-Nearest Neighbor algorithm with Jaro and Jaro-Wincler distances, applied as metrics. The evaluation of the represented simulation results indicates the proposed methodology produces reliable and steady results.
Journal: Годишник на Бургаски свободен университет
- Issue Year: XXV/2011
- Issue No: 1
- Page Range: 15-20
- Page Count: 5
- Language: English
