Inter-Flow Spatio-Temporal Correlation Analysis Based Website Fingerprinting Using Graph Neural Network-Reference-Cited by-同舟云学术

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Inter-Flow Spatio-Temporal Correlation Analysis Based Website Fingerprinting Using Graph Neural Network

Published:2024 Issue: Volume:19 Page:7619-7632
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Tan Xiaobin¹^ORCID,Peng Chuang²^ORCID,Xie Peng³,Wang Hao²,Li Mengxiang⁴,Chen Shuangwu¹^ORCID,Zou Cliff⁵

Affiliation:

1. Department of Automation, University of Science and Technology of China (USTC), Hefei, China

2. Institute of Advanced Technology, USTC, Hefei, China

3. Department of Automation, USTC, Hefei, China

4. School of Cyber Science and Technology, USTC, Hefei, China

5. Department of Computer Science, University of Central Florida, Orlando, FL, USA

Funder

National Key Research and Development Program of China

Key Science and Technology Project of Anhui

China Environment for Network Innovations

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10633736.pdf?arnumber=10633736

Reference42 articles.

1. TCP/IP traffic classification based on port numbers;Schneider,1996

2. nDPI: Open-source high-speed deep packet inspection

3. Website Fingerprinting at Internet Scale

4. Fine-Grained Webpage Fingerprinting Using Only Packet Length Information of Encrypted Traffic

5. Webpage Fingerprinting using Only Packet Length Information

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