A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting
TL;DR
Website fingerprinting identifies user-accessed sites in anonymous communications, crucial for cybercrime forensics. Deep learning methods achieve high accuracy but suffer from performance degradation over time.
A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting
Yaojun Ding; Bingxuan Hu
https://doi.org/10.1109/ACCESS.2024.3522892
Volume 13
Website fingerprinting (WF) refers to the identification of target websites accessed by users in anonymous communication scenarios, playing a critical role in cybercrime investigation and forensics. In recent years, deep learning-based WF has become a research focus in this field. Although these methods can achieve high accuracy, their performance tends to decline over time. This degradation resul...