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Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting

文献类型：期刊论文

作者Zhan, Mengqi2,3; Li, Yang2,3; Zhu, Yongchun1,4; Yu, Guangxi2,3; Zhang, Yan2,3; Li, Bo2,3; Wang, Weiping2,3
刊名IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
出版日期2023
卷号18页码:2427-2439
关键词Protocols Feature extraction Monitoring Training Servers Metadata Web sites Website fingerprinting HTTP/3 QUIC traffic analysis
ISSN号1556-6013
DOI10.1109/TIFS.2023.3266173
英文摘要Website fingerprinting is exploited to analyze encrypted traffic traces and infer the visited website. Existing website fingerprinting methods can achieve satisfying performance for the HTTP traffic visiting websites over TCP. Recently, a new protocol QUIC has been proposed, and HTTP-over-QUIC has been formalized as the next generation HTTP, named HTTP/3. Thus, it is necessary to classify HTTP/3 traces. However, since HTTP/3 is newly proposed and is being deployed, it is difficult to collect a large number of HTTP/3 traces. Intuitively, we can use sufficient TCP traces to improve the performance of the QUIC trace classifier. Unfortunately, the protocol discrepancy exists between TCP and QUIC traces, which undermines the generalization ability of the classifier. In this paper, for practical website fingerprinting of HTTP/3, we propose a Website-Aware Protocol Confusion Network (WAPCN), which exploits only a few QUIC traces to train a website classifier with the help of lots of available TCP traces. It consists of four main parts: a feature extractor, a website classifier, a protocol discriminator, and a website-aware adaptor. The feature extractor aims to extract trace representations from both TCP and QUIC traces. It cooperates with the website classifier to learn the discriminative representation for the website classification. The role of the protocol discriminator is to confuse protocols and guide the feature extractor to learn protocol-invariant representations. The website-aware adaptor can enhance protocol-invariant representations to be aware of the website classification boundary. Extensive experiments are conducted on various tasks to demonstrate the effectiveness of WAPCN.
资助项目Strategic Pilot Project of Chinese Academy of Sciences[XDC02050200] ; Project of Climbing Plan of Institute of Information Engineering, Chinese Academy of Sciences[E3Z0031114]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000979497800005
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/21449]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Yang
作者单位1.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 101408, Peoples R China
2.Chinese Acad Sci, Inst Informat Engn, Beijing 100085, Peoples R China
3.Univ Chinese Acad Sci, Sch Cyber Secur, Beijing 101408, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhan, Mengqi,Li, Yang,Zhu, Yongchun,et al. Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2023,18:2427-2439.
APA Zhan, Mengqi.,Li, Yang.,Zhu, Yongchun.,Yu, Guangxi.,Zhang, Yan.,...&Wang, Weiping.(2023).Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,18,2427-2439.
MLA Zhan, Mengqi,et al."Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 18(2023):2427-2439.

入库方式： OAI收割

来源：计算技术研究所

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