AppSniffer: Towards Robust Mobile App Fingerprinting Against VPN-Reference-Cited by-同舟云学术

AppSniffer: Towards Robust Mobile App Fingerprinting Against VPN

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Oh Sanghak¹^ORCID,Lee Minwook¹^ORCID,Lee Hyunwoo²^ORCID,Bertino Elisa³^ORCID,Kim Hyoungshick¹^ORCID

Affiliation:

1. Sungkyunkwan University, Republic of Korea

2. Korea Institute of Energy Technology, Republic of Korea

3. Purdue University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583473

Reference51 articles.

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4. Sikha Bagui , Xingang Fang , Ezhil Kalaimannan , Subhash C. Bagui , and Joseph Sheehan . 2017. Comparison of Machine-learning Algorithms for Classification of VPN Network Traffic Flow Using Time-related Features. Journal of Cyber Security Technology ( 2017 ). Sikha Bagui, Xingang Fang, Ezhil Kalaimannan, Subhash C. Bagui, and Joseph Sheehan. 2017. Comparison of Machine-learning Algorithms for Classification of VPN Network Traffic Flow Using Time-related Features. Journal of Cyber Security Technology (2017).

5. Towards Evaluating the Robustness of Neural Networks

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