@inproceedings{053a944e346d4674b1cc710a4be21537,
title = "Detecting fingerprinted data in TLS traffic",
abstract = "We present a new method for detecting known data in certain TLS encrypted communication channels. Our approach enables us to detect single files in eavesdropped TLS secured network traffic. We generate fingerprints by a fine-grained measurement of the entropy of fragments of known data and introduce the application of methods from the field of machine learning to the problem of file detection. We implement all proposed methods on a real data base and show the practical efficiency of our approach.",
keywords = "Machine Learning, TLS, Traffic Analysis",
author = "Konstantin B{\"o}ttinger and Dieter Schuster and Claudia Eckert",
note = "Publisher Copyright: Copyright {\textcopyright} 2015 ACM.; 10th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2015 ; Conference date: 14-04-2015 Through 17-04-2015",
year = "2015",
month = apr,
day = "14",
doi = "10.1145/2714576.2714595",
language = "English",
series = "ASIACCS 2015 - Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security",
publisher = "Association for Computing Machinery",
pages = "633--638",
booktitle = "ASIACCS 2015 - Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security",
}