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IEEE/ICACT20220329 Slide.16        [Big Slide]	Oral Presentation
	Now, we come to the last part —Conclusion and Future work. Our model RFA-AE is a lightweight intrusion detection model based on feature selection and autoencoder. It consists of the following three parts: data preprocessing, feature selection and anomaly detection. Experimental results show that our model can speed up training and detection time, and accurately detect attacks.

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