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In this paper, a novel anomaly detection scheme is proposed. It can detect anomaly network traffic which has extreme large value on some original feature by the ...
Missing: Principal | Show results with:Principal
In this paper, a novel anomaly detection scheme is proposed. It can detect anomaly network traffic which has extreme large value on some original feature by the ...
Missing: Principal | Show results with:Principal
In this paper, a novel anomaly detection scheme is proposed. It can detect anomaly network traffic which has extreme large value on some original feature by the ...
Missing: Principal | Show results with:Principal
Among them, the Anomaly-Network Intrusion Detection System (A-NIDS), this monitors network traffic and compares it against an established baseline of “normal ” ...
Abstract. As a crucial issue in computer network security, anomaly detection is receiving more and more attention from both application and theoretical ...
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Dive into the research topics of 'Anomaly internet network traffic detection by kernel principle component classifier'. Together they form a unique fingerprint.
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Abstract. Network anomaly detection is a hot topic in the field of detection and is of great significance for ensuring the reliable operation of the network ...
In this research, we develop a new fault identification method for kernel principal component analysis (kernel PCA). Although it has been proved that kernel PCA ...
Missing: Classifier. | Show results with:Classifier.
Our study identifies and evaluates four main challenges of using PCA to detect traf- fic anomalies: (i) the false positive rate is very sensitive to small ...
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In this paper, we propose a network traffic anomaly characterization method based on Spatial Pyramid Pooling (SPP) technology. Firstly, we combine the ATT&CK ...