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What is Anomaly Detection in Network Traffic about?

This document provides an abstract and introduction for a project on anomaly detection in network traffic for cybersecurity purposes. The project involves collecting network traffic data from various sources, preprocessing the data, extracting relevant features, and using unsupervised learning models like k-means clustering and isolation forests to identify anomalous patterns that could indicate potential security threats. The goals are to develop effective anomaly detection models, provide interactive visu

Author

juliatomva

Language

EN