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Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
Abstract
Internet of Things (IoT) devices are increasingly found in everyday homes, providing useful functionality for devices such as TVs, smart speakers, and video doorbells. Along with their benefits come potential privacy risks, since these devices can communicate information about their users to other parties over the Internet. However, understanding these risks in depth and at scale is difficult due to heterogeneity in devices' user interfaces, protocols, and functionality.
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Cited by
Peek-a-boo: i see your smart home activities, even encrypted!
Acar, A., Fereidooni, H., Abera, T., Sikder, A. K., Miettinen, M., Aksu, H., Conti, M., Sadeghi, A.-R., & Uluagac, S. (2020) · Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks · doi:10.1145/3395351.3399421 · Cited by 264
Informing the Design of Privacy-Empowering Tools for the Connected Home
Seymour, W., Kraemer, M. J., Binns, R., & Van Kleek, M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376264 · Cited by 41
Metadata
- Authors
- Ren, J., Dubois, D. J., Choffnes, D., Mandalari, A. M., Kolcun, R., & Haddadi, H.
- Venue
- Proceedings of the Internet Measurement Conference
- Publisher
- ACM
- Published
- 2019-10-21
- Pages
- 267-279
- OpenAlex
- W2980558733
- Cited by
- 256
- References
- 0
- FWCI
- 86.07
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach. https://app.cochat.ai/papers/10.1145/3355369.3355577
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- Ren, J., Dubois, D. J., Choffnes, D., Mandalari, A. M., Kolcun, R., & Haddadi, H. (2019). Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach. Proceedings of the Internet Measurement Conference. https://doi.org/10.1145/3355369.3355577
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
