TY - GEN
T1 - Steal this movie - Automatically bypassing DRM protection in streaming media services
AU - Wang, Ruoyu
AU - Shoshitaishvili, Yan
AU - Kruegel, Christopher
AU - Vigna, Giovanni
N1 - Funding Information:
We would like to thank representatives from Microsoft, Spotify, and Adobe for their feedback in regards to the drafts that we sent them. Additionally, we are eternally grateful to the EFF and UCSB's legal counsel for their help with legal and ethical concerns during the publication process. Finally, we thank Dr. Jianwei Zhuge for his advice. This work was supported by the Office of Naval Research (ONR) under Grant N00014-12-1-0165 and under grant N00014-09-1-1042, and the National Science Foundation (NSF) under grants CNS-0845559 and CNS 0905537, and by Secure Business Austria. This work was partly supported by Project 61003127 supported by NSFC.
Funding Information:
This work was supported by the Office of Naval Research (ONR) under Grant N00014-12-1-0165 and under grant N00014-09-1-1042, and the National Science Foundation (NSF) under grants CNS-0845559 and CNS 0905537, and by Secure Business Austria. This work was partly supported by Project 61003127 supported by NSFC.
Publisher Copyright:
copyright © 2013 USENIX Security Symposium.All right reserved.
PY - 2013
Y1 - 2013
N2 - Streaming movies online is quickly becoming the way in which users access video entertainment. This has been powered by the ubiquitous presence of the Internet and the availability of a number of hardware platforms that make access to movies convenient. Often, video-on-demand services use a digital rights management system to prevent the user from duplicating videos because much of the economic model of video stream services relies on the fact that the videos cannot easily be saved to permanent storage and (illegally) shared with other customers. In this paper, we introduce a general memory-based approach that circumvents the protections deployed by popular video-on-demand providers. We apply our approach to four different examples of streaming services: Amazon Instant Video, Hulu, Spotify, and Netflix and we demonstrate that, by using our technique, it is possible to break DRM protection in a semi-automated way.
AB - Streaming movies online is quickly becoming the way in which users access video entertainment. This has been powered by the ubiquitous presence of the Internet and the availability of a number of hardware platforms that make access to movies convenient. Often, video-on-demand services use a digital rights management system to prevent the user from duplicating videos because much of the economic model of video stream services relies on the fact that the videos cannot easily be saved to permanent storage and (illegally) shared with other customers. In this paper, we introduce a general memory-based approach that circumvents the protections deployed by popular video-on-demand providers. We apply our approach to four different examples of streaming services: Amazon Instant Video, Hulu, Spotify, and Netflix and we demonstrate that, by using our technique, it is possible to break DRM protection in a semi-automated way.
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M3 - Conference contribution
AN - SCOPUS:84967246245
T3 - Proceedings of the 22nd USENIX Security Symposium
SP - 687
EP - 702
BT - Proceedings of the 22nd USENIX Security Symposium
PB - USENIX Association
T2 - 22nd USENIX Security Symposium
Y2 - 14 August 2013 through 16 August 2013
ER -