Zen-tor: A Zero Knowledge Known-Unknown Traffic Classification Method

Home smart devices are widely used today, but due to their inherent drawbacks, one's home might be in danger if the home network has too many unknown traffic where malicious traffic hides. We present a conceptually new method called Zero Knowledge Known-unknown Traffic Classification(Zen-tor) which utilizes Generative Adversarial Networks(GAN) and con-volutional network. Zen-tor can classify unknown network traffic from known one under the situation of knowing zero knowledge of unknown traffic, thus it can be trained to protect private home network with only known traffic. We evaluate Zen-tor on a publicly available dataset, and the results show that Zen-tor has excellent unknown classification accuracy and outperforms the state-of-the-art unknown traffic classification methods.