WF3A: A N-shot website fingerprinting with effective fusion feature attention-Reference-Cited by-同舟云学术

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WF3A: A N-shot website fingerprinting with effective fusion feature attention

Published:2024-05 Issue: Volume:140 Page:103796
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Wang Zhiquan,Li Tengyao^ORCID,Yin Meijuan,Yuan Xiaoyun^ORCID,Luo Xiangyang,Li Lingling

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Department of Science and Technology of Henan Province

Publisher

Elsevier BV

Reference29 articles.

1. The rise of website fingerprinting on tor: analysis on techniques and assumptions;Aminuddin;J. Netw. Comput. Appl.,2023

2. VAR-CNN: a data-efficient website fingerprinting attack based on deep learning;Bhat;Proc. Priv. Enh. Technol.,2018

3. Online website fingerprinting: evaluating website fingerprinting attacks on tor in the real world;Cherubin,2022

4. Tor: the second-generation onion router;Dingledine,2004

5. Smart mining for deep metric learning;Harwood,2017

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