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Author/Affiliation: Khalid ChougdaliOpen AccessArticle
10 Pages, 3,910 KB 
Nonlinear \(\ell_{2,p}\)-norm based PCA for Anomaly Network Detection
Abstract:
Intrusion detection systems are well known for their ability to detect internal and external intrusions, it usually recognizes intrusions through learning the normal behaviour of users or the normal traffic of activities in the network. So, if any suspicious activity or behaviour is detected, it informs the users of the network. Nonetheless, intrusion detection system…
Read More(This article belongs to Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
10 Pages, 1,578 KB
Improved Nonlinear Fuzzy Robust PCA for Anomaly-based Intrusion Detection
Abstract:
Among the most popular tools in security field is the anomaly based Intrusion Detection System (IDS), it detects intrusions by learning to classify the normal activities of the network. Thus if any abnormal activity or behaviour is recognized it raises an alarm to inform the users of a given network. Nevertheless, IDS is generally susceptible…
Read More(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Interdisciplinary Applications of Computer Science (CSI))