To start, you will need to choose a programming language based on your personal preferences. After you have resolved that, select an AI library to assist in developing your DNS attack detection model.
Pick the kind of AI model you want. Think about the various options depending on the type of data you are working with. Regarding DNS traffic management, you need to decide how to gather and possibly modify the data.
Gather as much data as you can. It is ideal to have a large number of distinct normal DNS traffic instances. Next, replicate various DNS attack types, ensuring maximum diversity. After obtaining your data, divide it into two categories: one for typical traffic and the other for potential attacks.
Create a reward system for your artificial intelligence. The categories you have used to sort your data should serve as the foundation for this function. It is similar to teaching your AI right from wrong in the DNS realm. Then train your model.
