Exercise 2 – network intrusion detection

Applying AI to intrusion detection offers analogous benefits to using AI for malware detection. In the following exercise, we will attempt to detect malicious traffic. For this purpose, we will use support vector machines (SVMs) to construct a model for intrusion detection. SVMs possess several advantages in the realm of intrusion detection systems. They excel in high-dimensional spaces, rendering them suitable for environments where feature spaces are intricate and contain many dimensions. Furthermore, SVMs exhibit resistance to overfitting compared to some alternative algorithms, a trait particularly advantageous when dealing with limited labeled data—a common occurrence in intrusion detection scenarios. Additionally, SVMs demonstrate tolerance to irrelevant features. This is a crucial aspect for intrusion detection, where certain features may hold minimal significance in attack detection. Moreover, they adeptly handle imbalanced...