ABSTRACT. In this paper, we develop an architecture for principal com- ponent analysis (PCA) to be used as an outlier detection.
In this work, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion ...
An architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS) ...
In this paper, we develop an architecture for principal com- ponent analysis (PCA) to be used as an outlier detection method for high-speed network ...
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A reconfigurable architecture for network intrusion detection using principal component analysis. DT Nguyen, G Memik, A Choudhary. International Symposium on ...
Many reconfigurable architectures ... Principal Component Analysis for Network Intrusion Detection ... for network intrusion detection using fpga. In ...
A reconfigurable architecture for network intrusion detection using principal component analysis. DT Nguyen, G Memik, A Choudhary. International Symposium on ...
In this Ph.D. work, we look to exploit reconfigurable hardware in a dynamic network environment and implement novel architectures for next generation intrusion ...
Principal component analysis (PCA) is one of the widely used techniques for dimensionality reduction in multivariate statistical analysis.
This paper proposes sort of a compromise between both ends of the scale: a model based on Principal Component Analysis (PCA) as the chosen algorithm for ...