Implementing a paper: Controlling DDoS attack traffic using reinforcement learning
0. Related Links Reference Paper: DDoS Traffic Control Using Transfer Learning DQN With Structure Information | IEEE Journals & Magazine | IEEE Xplore Project GitHub Link: ryujm1828/DDoS_Traffic_Control_RL Explanatory YouTube Link: (To be added) 1. Introduction As someone who has been studying both security and AI, I wanted to undertake a meaningful project that merges these two fields. Initially, I considered projects like using AI to identify phishing emails or malware. However, I concluded that the limited availability of datasets and the difficulty of acquiring my own would make it challenging to add significant depth to such a project. Then, I came across a research paper suggesting that Reinforcement Learning (RL) could be used to control DDoS attack traffic. This was particularly exciting because RL is the area of AI I have studied most deeply. Furthermore, the ability to train a model through a simulation environment without needing a massive, pre-existin...