About this document
Network Anomaly Detection for Cybersecurity by juliatomva is a document available to read on EtoBox.
The document discusses a study on anomaly detection in network traffic for cybersecurity. The primary objective of the study is to develop effective anomaly detection models to enhance cybersecurity. It aims to address security threats by leveraging data science methods on network traffic data from various sources. Key steps include preprocessing the data, extracting meaningful features, and using clustering algorithms like k-means and isolation forests to identify anomalies. The study also aims to develop
- Author
- juliatomva
- Language
- EN