Identify VPN Traffic Under HTTPS Tunnel Using Three-Dimensional Sequence Features

Author:

Zhang Yaning1ORCID,Sun Weishi1ORCID,Zhang Shuzhuang1ORCID

Affiliation:

1. School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications Beijing, China, China

Publisher

ACM

Reference22 articles.

1. Network traffic identification of several open source secure proxy protocols

2. Huang Y , Lin Y. Transnational cybercrime is getting worse and stronger, China and ASEAN seek to join hands . 2015 . http://www.12377.cn/txt/2015-09/15/content_8235494. Huang Y, Lin Y. Transnational cybercrime is getting worse and stronger, China and ASEAN seek to join hands. 2015. http://www.12377.cn/txt/2015-09/15/content_8235494.

3. Miller S , Curran K , Lunney T. Multilayer perceptron neural network for detection of encrypted VPN network traffic[C]//2018 International Conference On Cyber Situational Awareness , Data Analytics And Assessment (Cyber SA) . IEEE , 2018 : 1-8. Miller S, Curran K, Lunney T. Multilayer perceptron neural network for detection of encrypted VPN network traffic[C]//2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA). IEEE, 2018: 1-8.

4. Detection of Anonymising Proxies Using Machine Learning

5. Peterson A. 2014. ‘The Sony Pictures hack explained.’ Washington Post 18 December. Available at: https://www.washingtonpost.com/news/the-switch/wp/2014/12/18/the-sony-pictures-hack-explained/ Peterson A. 2014. ‘The Sony Pictures hack explained.’ Washington Post 18 December. Available at: https://www.washingtonpost.com/news/the-switch/wp/2014/12/18/the-sony-pictures-hack-explained/

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