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Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices

Author(s): Moghaddam, Hooman M; Acar, Gunes; Burgess, Ben; Mathur, Arunesh; Huang, Danny Y; et al

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dc.contributor.authorMoghaddam, Hooman M-
dc.contributor.authorAcar, Gunes-
dc.contributor.authorBurgess, Ben-
dc.contributor.authorMathur, Arunesh-
dc.contributor.authorHuang, Danny Y-
dc.contributor.authorFeamster, Nick-
dc.contributor.authorFelten, Edward W-
dc.contributor.authorMittal, Prateek-
dc.contributor.authorNarayanan, Arvind-
dc.date.accessioned2021-10-08T19:45:32Z-
dc.date.available2021-10-08T19:45:32Z-
dc.date.issued2019-11en_US
dc.identifier.citationMohajeri Moghaddam, Hooman, Gunes Acar, Ben Burgess, Arunesh Mathur, Danny Yuxing Huang, Nick Feamster, Edward W. Felten, Prateek Mittal, and Arvind Narayanan. "Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices." Proceedings of the ACM SIGSAC Conference on Computer and Communications Security (2019), pp. 131-147. doi:10.1145/3319535.3354198en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1kc15-
dc.description.abstractThe number of Internet-connected TV devices has grown significantly in recent years, especially Over-the-Top ("OTT") streaming devices, such as Roku TV and Amazon Fire TV. OTT devices offer an alternative to multi-channel television subscription services, and are often monetized through behavioral advertising. To shed light on the privacy practices of such platforms, we developed a system that can automatically download OTT apps (also known as channels), and interact with them while intercepting the network traffic and performing best-effort TLS interception. We used this smart crawler to visit more than 2,000 channels on two popular OTT platforms, namely Roku and Amazon Fire TV. Our results show that tracking is pervasive on both OTT platforms, with traffic to known trackers present on 69% of Roku channels and 89% of Amazon Fire TV channels. We also discover widespread practice of collecting and transmitting unique identifiers, such as device IDs, serial numbers, WiFi MAC addresses and SSIDs, at times over unencrypted connections. Finally, we show that the countermeasures available on these devices, such as limiting ad tracking options and adblocking, are practically ineffective. Based on our findings, we make recommendations for researchers, regulators, policy makers, and platform/app developers.en_US
dc.format.extent131 - 147en_US
dc.language.isoen_USen_US
dc.relation.ispartofProceedings of the ACM SIGSAC Conference on Computer and Communications Securityen_US
dc.relation.ispartofseriesCCS '19;-
dc.rightsFinal published version. This is an open access article.en_US
dc.titleWatching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devicesen_US
dc.typeConference Articleen_US
dc.identifier.doi10.1145/3319535.3354198-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/conference-proceedingen_US

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