Anomaly detection for cybersecurity By Autoencoders

Need to apply autoencoders to analyze, evaluate intrusion detection systems, with a focus towards network-based anomaly detectors. The main objective of this project is to develop diverse and comprehensive benchmark dataset for intrusion detection based on the creation of user profiles The dataset includes seven different attack scenarios. Need to train and Evaluate the detectors. Need to create loosing curve , matrices performance and confusion matrix It has to be done in Jupyter book