Supervised Learning for Network Traffic Analysis

As cyber threats continue to evolve, organizations require intelligent systems to detect and respond to malicious network activities in real time. Traditional methods often fall short in handling large volumes of traffic, making machine learning an essential tool for modern cybersecurity. This lab introduces supervised learning techniques for network traffic analysis. You will develop and evaluate models such as Logistic Regression and Support Vector Machines to detect intrusions and classify network packets. Through hands-on exercises, you will gain experience in training models, analyzing performance, and applying them to real-world cybersecurity scenarios, strengthening your ability to identify and mitigate network-based threats.