Abstract
In the present era of the internet, there is a growing abundance of tools and techniques that can be employed to target and breach private networks. Anomaly detection involves the examination of past data to identify deviations from normal conditions. AE and VAEs are considered significant to detect anomalies and intrusions in network data. During the experiment, CICIDS2017 was utilized. A wide variety of current attack types were included in the CICIDS2017 dataset. The experimental results indicated optimized results with the given dataset.