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Intrusion detection in network flows based on an optimized clustering criterion
Graph-based intrusion detection approaches consider the network as a graph and detect
anomalies based on graph metrics. However, most of these approaches succumb to the …
anomalies based on graph metrics. However, most of these approaches succumb to the …
Cyber-Attacks and Anomaly detection on CICIDS-2017 dataset using ER-VEC
Securing a network the preliminary defense mechanisms of applied Security Compliance
along with IDS (Intrusion Detection System) and IPS (Intrusion Prevention System) that are …
along with IDS (Intrusion Detection System) and IPS (Intrusion Prevention System) that are …
Clustering algorithm based on outlier detection for anomaly intrusion detection
Many experiments show that outliers have important implications for clustering. However,
Most of the clustering algorithm ignores to compute outliers, or does not detect outliers well …
Most of the clustering algorithm ignores to compute outliers, or does not detect outliers well …
[PDF][PDF] An optimized approach toward intrusion detection using cluster-like behavior of attacks
Most of intrusion detection researches suffer from the following drawbacks: Dependencies
between network nodes and cluster-like behavior of anomalies. Hence, this paper proposes …
between network nodes and cluster-like behavior of anomalies. Hence, this paper proposes …