Exploiting Data-Usage Statistics for Website Fingerprinting Attacks on Android

Raphael Spreitzer ¹

Simone Griesmayr ¹

Thomas Korak ¹

Stefan Mangard ¹

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Graz University of Technology, IAIK, Graz, Austria |

Publication type: Proceedings Article

Publication date: 2016-07-18

Association for Computing Machinery (ACM)

DOI: 10.1145/2939918.2939922

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Abstract

The browsing behavior of a user allows to infer personal details, such as health status, political interests, sexual orientation, etc. In order to protect this sensitive information and to cope with possible privacy threats, defense mechanisms like SSH tunnels and anonymity networks (e.g., Tor) have been established. A known shortcoming of these defenses is that website fingerprinting attacks allow to infer a user's browsing behavior based on traffic analysis techniques. However, website fingerprinting typically assumes access to the client's network or to a router near the client, which restricts the applicability of these attacks.

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Association for Computing Machinery (ACM)