HIGHLIGHTS
- who: P. Sherubha from the Department of Information Technology, Karpagam College of Engineering, Coimbatore, Tamilnadu, India have published the paper: An Efficient Unsupervised Learning Approach for Detecting Anomaly in Cloud, in the Journal: (JOURNAL)
SUMMARY
Snort is used for the signature detection model, cannot identify unidentified attacks, and adopts traffic. Intrusion detection-based outcomes depend not only on classifier performance; however on the performance of input data quality. Usually, network traffic includes feature reduction and high dimensionality that causes feature dimensionality disaster. It comprises two kinds of approaches: feature extraction and feature selection . . .
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