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Researchers have already collected a huge amount of datasets (publicly available) for anomaly detection. We implemented the genetic algorithm to find the fitness value and selected the best fitness values from the intrusion population. It ultimately removed the irrelevant and redundant features from the population, and minimized the computational complexity. The best fitness features are presented into 2-dimensional space for further generalization between normal and malicious activities boundary separation.
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IEEE/ICACT20210214 Slide.05
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