A Survey on Tor Encrypted Traffic Monitoring
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 8
Abstract
Tor (The Onion Router) is an anonymity tool that is widely used worldwide. Tor protect its user privacy against surveillance and censorship using strong encryption and obfuscation techniques which makes it extremely difficult to monitor and identify users’ activity on the Tor network. It also implements strong defense to protect the users against traffic features extraction and website fingerprinting. However, the strong anonymity also became the heaven for criminal to avoid network tracing. Therefore, numerous of research has been performed on encrypted traffic analyzing and classification using machine learning techniques. This paper presents survey on existing approaches for classification of Tor and other encrypted traffic. There is preliminary discussion on machine learning approaches and Tor network. Next, there are comparison of the surveyed traffic classification and discussion on their classification properties.
Authors and Affiliations
Mohamad Amar Irsyad Mohd Aminuddin, Zarul Fitri Zaaba, Manmeet Kaur Mahinderjit Singh, Darshan Singh Mahinder Singh
Keywords
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- EP ID EP375476
- DOI 10.14569/IJACSA.2018.090815
- Views 108
- Downloads 0
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