| Title |
Comparative Analysis of Classification Feature Importance for Machine Learning based Tor Fingerprinting Attacks |
| Authors |
정재원(Jaewon Jeong) ; 방준석(Juneseok Bang) ; 이주형(Joohyung Lee) |
| DOI |
https://doi.org/10.5573/ieie.2023.60.1.76 |
| Keywords |
Tor browser; Website Fingerprinting |
| Abstract |
This paper provides brief survey for state of art of website fingerprinting attack in Tor networks. Specifically, various features used for website fingerprinting attack is analyzed throughout literatures. Contribution level of various features to website fingerprinting attacks in Tor networks is evaluated by using Ensemble of tree machine learning methods. In this experiment, feature importance and correlation of features are obtained to suggest importance level of each feature. Finally, according to the combination of top-ranked features, accuracy and training time are empirically tested. |