In this project, we aimed to determine whether network traffic is the TOR network by using machine learning and artificial neural networks.

Artificial Neural Network. Conference Paper. Tor Network Detection By Using Machine Learning And Artificial Neural Network. October 2021. DOI:10.1109/ISNCC52172 ...

in the networks. In this paper, we aim to detect Tor Traffic by using of several machine learning and artificial neural networks techniques. Firstly, in ...

Dive into the research topics of 'Tor Network Detection by Using Machine Learning and Artificial Neural Network'. Together they form a unique fingerprint.

Oct 20, 2020 · A research group from Rochester Institute of Technology made an interesting experiment about how machine learning can be used to deanonymize Tor traffic.

This paper analyses the performance of Artificial neural network (ANN) and Support vector machines (SVM) in terms of overall accuracy in detecting. nonTor ...

Nov 11, 2020 · In this paper we present a deep neural network (DNN) based system for the detection and classification of encrypted Tor traffic.

This work compares the performance of various traditional machine learning algorithms (e.g. Random Forest, Decision Tree, k-Nearest Neighbor) and Deep Neural ...

This section also introduces supervised learning-based detection approaches and explains the applications of reinforcement learning frameworks in the network ...

[8] employed Deep Neural Networks to categorize Tor and non-Tor traffic ... It is possible to connect to the TOR network using the TOR browser bundle, a.