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

doi:10.1109/TIFS.2023.3266173

	Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting
	Zhan, Mengqi 1,2; Li, Yang 1,2; Zhu, Yongchun 3,4; Yu, Guangxi 1,2; Zhang, Yan 1,2; Li, Bo 1,2; Wang, Weiping 1,2
	2023
发表期刊	IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
ISSN	1556-6013
卷号	18 页码:2427-2439
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.
关键词	Protocols Feature extraction Monitoring Training Servers Metadata Web sites Website fingerprinting HTTP/3 QUIC traffic analysis
DOI	10.1109/TIFS.2023.3266173
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000979497800005
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21450
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.Chinese Acad Sci, Inst Informat Engn, Beijing 100085, Peoples R China 2.Univ Chinese Acad Sci, Sch Cyber Secur, Beijing 101408, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 101408, 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.