An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting

Jian Qu; Xiaobo Ma; Jianfeng Li; Xiapu Luo; Lei Xue; Junjie Zhang; Zhenhua Li; Li Feng; Xiaohong Guan

An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting

Jian Qu, Xiaobo Ma, Jianfeng Li, Xiapu Luo, Lei Xue, Junjie Zhang, Zhenhua Li, Li Feng, Xiaohong Guan

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	32nd USENIX Security Symposium, USENIX Security 2023
Publisher	USENIX Association
Pages	589-606
Number of pages	18
ISBN (Electronic)	9781713879497
State	Published - 2023
Event	32nd USENIX Security Symposium, USENIX Security 2023 - Anaheim, United States Duration: Aug 9 2023 → Aug 11 2023

Publication series

Name	32nd USENIX Security Symposium, USENIX Security 2023
Volume	1

Conference

Conference	32nd USENIX Security Symposium, USENIX Security 2023
Country/Territory	United States
City	Anaheim
Period	8/9/23 → 8/11/23

ASJC Scopus Subject Areas

Computer Networks and Communications
Information Systems
Safety, Risk, Reliability and Quality

Cite this

An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting. / Qu, Jian; Ma, Xiaobo; Li, Jianfeng et al.
32nd USENIX Security Symposium, USENIX Security 2023. USENIX Association, 2023. p. 589-606 (32nd USENIX Security Symposium, USENIX Security 2023; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qu, J, Ma, X, Li, J, Luo, X, Xue, L, Zhang, J, Li, Z, Feng, L & Guan, X 2023, An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting. in 32nd USENIX Security Symposium, USENIX Security 2023. 32nd USENIX Security Symposium, USENIX Security 2023, vol. 1, USENIX Association, pp. 589-606, 32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, United States, 8/9/23.

@inproceedings{8cd45eded8db4ed6af637717bd4d8a57,

title = "An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting",

author = "Jian Qu and Xiaobo Ma and Jianfeng Li and Xiapu Luo and Lei Xue and Junjie Zhang and Zhenhua Li and Li Feng and Xiaohong Guan",

year = "2023",

language = "English",

series = "32nd USENIX Security Symposium, USENIX Security 2023",

publisher = "USENIX Association",

pages = "589--606",

booktitle = "32nd USENIX Security Symposium, USENIX Security 2023",

}

TY - GEN

T1 - An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting

AU - Qu, Jian

AU - Ma, Xiaobo

AU - Li, Jianfeng

AU - Luo, Xiapu

AU - Xue, Lei

AU - Zhang, Junjie

AU - Li, Zhenhua

AU - Feng, Li

AU - Guan, Xiaohong

PY - 2023

Y1 - 2023

UR - http://www.scopus.com/inward/record.url?scp=85176131477&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85176131477&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85176131477

T3 - 32nd USENIX Security Symposium, USENIX Security 2023

SP - 589

EP - 606

BT - 32nd USENIX Security Symposium, USENIX Security 2023

PB - USENIX Association

T2 - 32nd USENIX Security Symposium, USENIX Security 2023

Y2 - 9 August 2023 through 11 August 2023

ER -

An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting

Publication series

Conference

ASJC Scopus Subject Areas

Other files and links

Cite this