Features Extraction on IoT Intrusion Detection System Using Principal Components Analysis (PCA)

Published: Oct 1, 2020
Abstract
Feature extraction solves the problem of finding the most efficient and comprehensive set of features. A Principle Component Analysis (PCA) feature extraction algorithm is applied to optimize the effectiveness of feature extraction to build an effective intrusion detection method. This paper uses the Principal Components Analysis (PCA) for features extraction on intrusion detection system with the aim to improve the accuracy and precision of the...
Paper Details
Title
Features Extraction on IoT Intrusion Detection System Using Principal Components Analysis (PCA)
Published Date
Oct 1, 2020
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