@inproceedings{92626b0836824e52a230e8f0881c8256,
title = "DigesTor: Comparing passive traffic analysis attacks on tor",
abstract = "The Tor anonymity network represents a rewarding target for de-anonymization attacks, in particular by large organizations and governments. Tor is vulnerable to confirmation attacks, in which powerful adversaries compromise user anonymity by correlating transmissions between entry and exit nodes. As the experimental evaluation of such attacks is challenging, a fair comparison of passive traffic analysis techniques is hardly possible. In this work, we provide a first comparative evaluation of confirmation attacks and assess their impact on the real world. For this purpose, we release DigesTor, an analysis framework that delivers a foundation for comparability to support future research in this context. The framework runs a virtual private Tor network to generate traffic for representative scenarios, on which arbitrary attacks can be evaluated. Our results show the effects of recent and novel attack techniques and we demonstrate the capabilities of DigesTor using the example of mixing as a countermeasure against traffic analysis attacks.",
keywords = "Confirmation attack, Mixing, Tor, Traffic analysis",
author = "Katharina Kohls and Christina P{\"o}pper",
note = "Funding Information: Acknowledgments. This work was supported in part by Intel (ICRI-CARS) and the German Research Foundation (DFG) Research Training Group GRK 1817/1. We would like to thank Maximilian Golla for his support with the experimental setup. Funding Information: This work was supported in part by Intel (ICRI-CARS) and the German Research Foundation (DFG) Research Training Group GRK 1817/1. We would like to thank Maximilian Golla for his support with the experimental setup. Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 23rd European Symposium on Research in Computer Security, ESORICS 2018 ; Conference date: 03-09-2018 Through 07-09-2018",
year = "2018",
doi = "10.1007/978-3-319-99073-6_25",
language = "English (US)",
isbn = "9783319990729",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "512--530",
editor = "Javier Lopez and Jianying Zhou and Miguel Soriano",
booktitle = "Computer Security - 23rd European Symposium on Research in Computer Security, ESORICS 2018, Proceedings",
}