Classifying Tor Traffic Encrypted Payload Using Machine Learning

Classifying Tor Traffic Encrypted Payload Using Machine Learning

Tor, a network offering Internet anonymity, presented both positive and potentially malicious applications, leading to the need for efficient Tor traffic monitoring. While most current traffic classification methods rely on flow-based features, these can be unreliable due to factors like asymmetric...

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Bibliographic Details
Main Authors: Pitpimon Choorod, George Weir, Anil Fernando
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Network traffic classification
Tor network
machine learning
encrypted payload features
character analysis
Online Access:https://ieeexplore.ieee.org/document/10409147/

Internet

https://ieeexplore.ieee.org/document/10409147/

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