Approach to Recognition of Malicious Servers of TOR Anonymization Network Based on Cluster Analysis-Reference-Cited by-同舟云学术

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Approach to Recognition of Malicious Servers of TOR Anonymization Network Based on Cluster Analysis

Published:2021-12 Issue:8 Volume:55 Page:1209-1214
ISSN:0146-4116
Container-title:Automatic Control and Computer Sciences
language:en
Short-container-title:Aut. Control Comp. Sci.

Author:

Nefedov V. S.,Kriulin A. A.,Eremeev M. A.

Publisher

Allerton Press

Subject

Signal Processing,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.3103/S0146411621080411.pdf

Reference8 articles.

1. OrNetRadar. https://nusenu.github.io/OrNetRadar. Cited May 15, 2020.

2. Specification of Tor protocol: Official website. https://gitweb.torproject.org/torspec.git. Cited May 15, 2020.

3. Chakravarty, S., Traffic analysis attacks and defenses in low latency anonymous communications, PhD Thesis, New York: Columbia University, 2014.

4. Dingledine, R., Mathewson, N., and Syverson, P., Tor: The second-generation onion router, Onion Router. http://www.onion-router.net/Publications/tor-desingn.pdf. Cited May 15, 2020.

5. Collection of characteristics of nodes of Tor network. http://collector.torproject.org. Cited May, 2020.

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