Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866917667052453888 |
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| author | Choorod, Pitpimon Bauer, Tobias J. Aßmuth, Andreas |
| author_facet | Choorod, Pitpimon Bauer, Tobias J. Aßmuth, Andreas |
| contents | For journalists reporting from a totalitarian regime, whistleblowers and resistance fighters, the anonymous use of cloud services on the Internet can be vital for survival. The Tor network provides a free and widely used anonymization service for everyone. However, there are different approaches to distinguishing Tor from non-Tor encrypted network traffic, most recently only due to the (relative) frequencies of hex digits in a single encrypted payload packet. While conventional data traffic is usually encrypted once, but at least three times in the case of Tor due to the structure and principle of the Tor network, we have examined to what extent the number of encryptions contributes to being able to distinguish Tor from non-Tor encrypted data traffic. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_09412 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis Choorod, Pitpimon Bauer, Tobias J. Aßmuth, Andreas Cryptography and Security Machine Learning Networking and Internet Architecture For journalists reporting from a totalitarian regime, whistleblowers and resistance fighters, the anonymous use of cloud services on the Internet can be vital for survival. The Tor network provides a free and widely used anonymization service for everyone. However, there are different approaches to distinguishing Tor from non-Tor encrypted network traffic, most recently only due to the (relative) frequencies of hex digits in a single encrypted payload packet. While conventional data traffic is usually encrypted once, but at least three times in the case of Tor due to the structure and principle of the Tor network, we have examined to what extent the number of encryptions contributes to being able to distinguish Tor from non-Tor encrypted data traffic. |
| title | Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis |
| topic | Cryptography and Security Machine Learning Networking and Internet Architecture |
| url | https://arxiv.org/abs/2405.09412 |