@inproceedings{PanchenkoLanzeZinnenetal., author = {Panchenko, Andriy and Lanze, Fabian and Zinnen, Andreas and Henze, Martin and Pennekamp, Jan and Engel, Thomas and Wehrle, Klaus}, title = {Website Fingerprinting at Internet Scale}, series = {Proceedings of the 23rd Internet Society (ISOC) Network and Distributed System Security Symposium (NDSS 2016), San Diego, USA, February 2016}, booktitle = {Proceedings of the 23rd Internet Society (ISOC) Network and Distributed System Security Symposium (NDSS 2016), San Diego, USA, February 2016}, publisher = {Internet Society}, address = {Reston, VA}, isbn = {1-891562-41-X}, pages = {15}, language = {en} } @misc{MitsevaPanchenkoLanzeetal., author = {Mitseva, Asya and Panchenko, Andriy and Lanze, Fabian and Henze, Martin and Engel, Thomas and Wehrle, Klaus}, title = {POSTER: Fingerprinting Tor Hidden Services}, series = {In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (CCS '16). Association for Computing Machinery, New York, NY, USA}, journal = {In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (CCS '16). Association for Computing Machinery, New York, NY, USA}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-4139-4}, doi = {10.1145/2976749.2989054}, pages = {1766 -- 1768}, language = {en} } @inproceedings{PanchenkoMitsevaHenzeetal., author = {Panchenko, Andriy and Mitseva, Asya and Henze, Martin and Lanze, Fabian and Engel, Thomas and Wehrle, Klaus}, title = {Analysis of Fingerprinting Techniques for Tor Hidden Services}, series = {WPES '17 Proceedings of the 2017 on Workshop on Privacy in the Electronic Society, Dallas, Texas, USA, October 2017}, booktitle = {WPES '17 Proceedings of the 2017 on Workshop on Privacy in the Electronic Society, Dallas, Texas, USA, October 2017}, publisher = {ACM}, address = {New York, NY}, isbn = {978-1-4503-5175-1}, doi = {10.1145/3139550.3139564}, pages = {165 -- 175}, language = {en} } @misc{DeLaCadenaMitsevaPennekampetal., author = {De La Cadena, Wladimir and Mitseva, Asya and Pennekamp, Jan and Hiller, Jens and Lanze, Fabian and Engel, Thomas and Wehrle, Klaus and Panchenko, Andriy}, title = {POSTER: Traffic Splitting to Counter Website Fingerprinting}, series = {CCS '19 Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security , London, UK, November 11 - 15, 2019.}, journal = {CCS '19 Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security , London, UK, November 11 - 15, 2019.}, publisher = {ACM Press}, address = {New York}, isbn = {978-1-4503-6747-9}, doi = {10.1145/3319535.3363249}, pages = {2533 -- 2535}, abstract = {Website fingerprinting (WFP) is a special type of traffic analysis, which aims to infer the websites visited by a user. Recent studies have shown that WFP targeting Tor users is notably more effective than previously expected. Concurrently, state-of-the-art defenses have been proven to be less effective. In response, we present a novel WFP defense that splits traffic over multiple entry nodes to limit the data a single malicious entry can use. Here, we explore several traffic-splitting strategies to distribute user traffic. We establish that our weighted random strategy dramatically reduces the accuracy from nearly 95\% to less than 35\% for four state-of-the-art WFP attacks without adding any artificial delays or dummy traffic.}, language = {en} } @misc{PennekampHenzeZinnenetal., author = {Pennekamp, Jan and Henze, Martin and Zinnen, Andreas and Lanze, Fabian and Wehrle, Klaus and Panchenko, Andriy}, title = {CUMUL \& Co: High-Impact Artifacts for Website Fingerprinting Research}, series = {38th Annual Computer Security Applications Conference (ACSAC 2022), Austin, Texas, USA, December 5-9, 2022.}, journal = {38th Annual Computer Security Applications Conference (ACSAC 2022), Austin, Texas, USA, December 5-9, 2022.}, pages = {6}, abstract = {Anonymous communication on the Internet is about hiding the relationship between communicating parties. At NDSS '16, we presented a new website fingerprinting approach, CUMUL, that utilizes novel features and a simple yet powerful algorithm to attack anonymization networks such as Tor. Based on pattern observation of data flows, this attack aims at identifying the content of encrypted and anonymized connections. Apart from the feature generation and the used classifier, we also provided a large dataset to the research community to study the attack at Internet scale. In this paper, we emphasize the impact of our artifacts by analyzing publications referring to our work with respect to the dataset, feature extraction method, and source code of the implementation. Based on this data, we draw conclusions about the impact of our artifacts on the research field and discuss their influence on related cybersecurity topics. Overall, from 393 unique citations, we discover more than 130 academic references that utilize our artifacts, 61 among them are highly influential (according to SemanticScholar), and at least 43 are from top-ranked security venues. This data underlines the significant relevance and impact of our work as well as of our artifacts in the community and beyond.}, language = {en} }