Building a Network Anomaly Detection System with Autoencoders
Introduction to Network Anomaly Detection In the vast and often treacherous landscape of network traffic, anomalies can be the digital equivalent of a ticking time bomb. Detecting these anomalies is crucial for maintaining network security and integrity. One of the most promising approaches to this challenge is using autoencoders, a type of neural network that excels in identifying unusual patterns. What are Autoencoders? Autoencoders are neural networks designed to learn efficient representations of the input data by reconstructing it....