Proceedings ArticleDOI
White Mirror: Leaking Sensitive Information from Interactive Netflix Movies using Encrypted Traffic Analysis
Gargi Mitra,Prasanna Karthik Vairam,Patanjali Slpsk,Nitin Chandrachoodan,V. Kamakoti +4 more
- pp 122-124
TLDR
It is shown for the first time that information such as the choices made by viewers can be revealed based on the characteristics of encrypted control traffic exchanged with Netflix.Abstract:
Privacy leaks from Netflix videos/movies are well researched. Current state-of-the-art works have been able to obtain coarse-grained information such as the genre and the title of videos by passive observation of encrypted traffic. However, leakage of fine-grained information from encrypted video traffic has not been studied so far. Such information can be used to build behavioral profiles of viewers. Recently, Netflix released the first mainstream interactive movie called 'Black Mirror: Bandersnatch'. In this work, we use this movie as a case-study to develop techniques for revealing information from encrypted interactive video traffic. We show for the first time that information such as the choices made by viewers can be revealed based on the characteristics of encrypted control traffic exchanged with Netflix. To evaluate our proposed technique, we built the first interactive video traffic dataset of 100 viewers; which we will be releasing. Our technique was able to reveal the choices 96% of the time in the case of 'Black Mirror: Bandersnatch' and they were also equally or more successful for all other interactive movies released by Netflix so far.read more
Citations
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References
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Proceedings Article
Beauty and the burst: remote identification of encrypted video streams
TL;DR: It is demonstrated that this attack can be performed even by a Web attacker who does not directly observe the stream, e.g., a JavaScript ad confined in a Web browser on a nearby machine.
Proceedings ArticleDOI
Identifying HTTPS-Protected Netflix Videos in Real-Time
Andrew Reed,Michael J. Kranch +1 more
TL;DR: This work developed a system that can report the Netflix video being delivered by a TCP connection using only the information provided by TCP/IP headers and created a fingerprint database comprised of 42,027 Netflix videos to support this analysis.
Proceedings ArticleDOI
Silhouette: Identifying YouTube Video Flows from Encrypted Traffic
TL;DR: Preliminary results with pre-classified YouTube traffic shows the promise of the Silhouette approach, yielding high identification accuracy over a range of video content and encoding qualities.
Posted Content
White Mirror: Leaking Sensitive Information from Interactive Netflix Movies using Encrypted Traffic Analysis
TL;DR: In this article, the authors studied the leakage of fine-grained information from encrypted traffic and showed that the choices made by a user can be revealed 96% of the time in the worst case.