ABSTRACT. Tor is a low-latency anonymity-preserving network that enables its users to protect their privacy online. It consists of volunteer-.
We propose and evaluate DiffTor, a machine-learning-based approach that classifies Tor's encrypted circuits by application in real time and subsequently assigns ...
ABSTRACT. Tor is a low-latency anonymity-preserving network that enables its users to protect their privacy online. It consists of volunteer-.
The proposed and evaluated DiffTor, a machine-learning-based approach that classifies Tor's encrypted circuits by application in real time and subsequently ...
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What are the methods of network traffic classification?
What is detection of Tor traffic using deep learning?
Sep 1, 2024 · Our approach achieves a remarkable recall score ratio of 1.00, demonstrating high accuracy in Tor traffic identification. Notably, efficient ...
This paper has proposed an intelligent method for the online monitoring and classification of TOR and non-TOR traffic.
May 9, 2024 · The project centers on analyzing network traffic within darknet environments, such as the Tor network, to understand how modifications to Tor traffic impact ...
Abstract : The important work of classifying network traffic for control and monitoring is examined in this study. Data protection has taken centre stage as ...
This paper presents a technique able to identify whether an host is generating Tor-related traffic and resorts to well-known machine learning algorithms.
Sep 25, 2024 · We utilise a multi-label classification technique based on Message-Passing Neural Networks, demonstrating its superiority over previous approaches.