Hands-On Machine Learning for Cybersecurity

Time Series Analysis and Ensemble Modeling

In this chapter, we will study two important concepts of machine learning: time series analysis and ensemble learning. These are important concepts in the field of machine learning.

We use these concepts to detect anomalies within a system. We analyze historic data and compare it with the current data to detect deviations from normal activities.

The topics that will be covered in this chapter are the following:

• Time series and its different classes
• Time series decomposition
• Analysis of time series in cybersecurity
• Prediction of DDoS attack
• Ensemble learning methods and voting ensemble methods to detect cyber attacks