This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-19 Creation time: 03-12-38 --- Number of references 4 inproceedings 2016-henze-cloudcom-trinics 2016 12 12 366-370 trinics https://www.comsys.rwth-aachen.de/fileadmin/papers/2016/2016-henze-cloudcom-trinics.pdf Online IEEE Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Luxembourg, Luxembourg en 978-1-5090-1445-3 10.1109/CloudCom.2016.0064 1 MartinHenze DanielKerpen JensHiller MichaelEggert DavidHellmanns ErikMühmer OussamaRenuli HenningMaier ChristianStüble RogerHäußling KlausWehrle inproceedings 2016-mitseva-ccs-fingerprinting 2016 10 24 1766-1768 https://www.comsys.rwth-aachen.de/fileadmin/papers/2016/2016-mitseva-ccs-fingerprinting.pdf Online ACM Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria en 978-1-4503-4139-4 10.1145/2976749.2989054 1 AsyaMitseva AndriyPanchenko FabianLanze MartinHenze KlausWehrle ThomasEngel inproceedings 2016-zimmermann-remp 2016 5 IEEE Proceedings of the IEEE International Conference on Communications (ICC 2016), Kuala Lumpur, Malaysia Kuala Lumpur, Malaysia ICC 2016 23.-27.5.2016 978-1-4799-6664-6 1938-1883 10.1109/ICC.2016.7510787 1 AlexanderFrömmgen TobiasErbshäuser TorstenZimmermann KlausWehrle AlejandroBuchmann inproceedings 2016-panchenko-ndss-fingerprinting 2016 2 21 The website fingerprinting attack aims to identify the content (i.e., a webpage accessed by a client) of encrypted and anonymized connections by observing patterns of data flows such as packet size and direction. This attack can be performed by a local passive eavesdropper – one of the weakest adversaries in the attacker model of anonymization networks such as Tor. In this paper, we present a novel website fingerprinting attack. Based on a simple and comprehensible idea, our approach outperforms all state-of-the-art methods in terms of classification accuracy while being computationally dramatically more efficient. In order to evaluate the severity of the website fingerprinting attack in reality, we collected the most representative dataset that has ever been built, where we avoid simplified assumptions made in the related work regarding selection and type of webpages and the size of the universe. Using this data, we explore the practical limits of website fingerprinting at Internet scale. Although our novel approach is by orders of magnitude computationally more efficient and superior in terms of detection accuracy, for the first time we show that no existing method – including our own – scales when applied in realistic settings. With our analysis, we explore neglected aspects of the attack and investigate the realistic probability of success for different strategies a real-world adversary may follow. https://www.comsys.rwth-aachen.de/fileadmin/papers/2016/2016-panchenko-ndss-fingerprinting.pdf https://www.informatik.tu-cottbus.de/~andriy/zwiebelfreunde/ Internet Society Proceedings of the 23rd Annual Network and Distributed System Security Symposium (NDSS '16), February 21-24, 2016, San Diego, CA, USA San Diego, CA, USA February 21-24, 2016 978-1-891562-41-9 10.14722/ndss.2016.23477 1 AndriyPanchenko FabianLanze AndreasZinnen MartinHenze JanPennekamp KlausWehrle ThomasEngel