Abstract
The Internet of Things is a technology which is dominating our lives, making it more comfortable, safer and smarter. Using smart speakers as voice assistants for smart homes provides valuable service and an easy control of IoT devices, despite allowing the emergence of privacy threats and disclosing sensitive data about users. In this paper, we propose to associate with any smart personal assistant a privacy guard gateway (PGG for short) in order to mitigate privacy issues related to cloud-based devices, like profiling and linkage. In an original way, the PGG system is based on a noise addition mechanism that injects dummy requests according to some selected strategy, without the user’s activities being stored during the operation. A case study of our approach is experimented with a Google Home Assistant, in order to show its effectiveness.
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Notes
- 1.
The hardware used in this experiment is: Google Home Mini, Raspberry Pi 3 Model B, Logitech USB Mic, Rokit Boost Orbit Speaker, and Horsky WiFi Outlet.
References
SpeechRecognition 3.8.1 (2020). https://pypi.org/project/SpeechRecognition/, https://ifttt.com/. Accessed 25 Aug 2020
Abdi, N., Ramokapane, K.M., Such, J.M.: More than smart speakers: security and privacy perceptions of smart home personal assistants. In: Symp. on Usable Privacy and Security. USENIX Association (2019)
Acar, A., et al.: Peek-a-boo: i see your smart home activities, even encrypted! arXiv preprint arXiv:1808.02741 (2018)
Ahmed, S., Chowdhury, A.R., Fawaz, K., Ramanathan, P.: Preech: a system for privacy-preserving speech transcription. In: \(\{\)USENIX\(\}\) Security Symposium, pp. 2703–2720 (2020)
AL-mawee, W., et al.: Privacy and security issues in IoT healthcare applications for the disabled users a survey (2012)
Alshohoumi, F., Sarrab, M., AlHamadani, A., Al-Abri, D.: Systematic review of existing IoT architectures security and privacy issues and concerns. Int. J. Adv. Comput. Sci. Appl 10(7), 232–251 (2019)
Atlam, H.F., Wills, G.B.: IoT security, privacy, safety and ethics. In: Farsi, M., Daneshkhah, A., Hosseinian-Far, A., Jahankhani, H. (eds.) Digital Twin Technologies and Smart Cities. IT, pp. 123–149. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-18732-3_8
Chandrasekaran, V., Linden, T., Fawaz, K., Mutlu, B., Banerjee, S.: Blackout and obfuscator: an exploration of the design space for privacy-preserving interventions for voice assistants. arXiv preprint arXiv:1812.00263 (2018)
Edu, J.S., Such, J.M., Suarez-Tangil, G.: Smart home personal assistants: a security and privacy review. arXiv preprint arXiv:1903.05593 (2019)
Feng, H., Fawaz, K., Shin, K.G.: Continuous authentication for voice assistants. In: 23rd Annual International Conference on Mobile Computing and Networking, pp. 343–355 (2017)
Gao, C., Chandrasekaran, V., Fawaz, K., Banerjee, S.: Traversing the quagmire that is privacy in your smart home. In: Workshop on IoT Security and Privacy, pp. 22–28 (2018)
He, W., et al.: Rethinking access control and authentication for the home internet of things (IoT). In: \(\{\)USENIX\(\}\) Security Symposium, pp. 255–272 (2018)
Inc., G.: Google Nest and Google Home device specifications (2020). https://support.google.com/googlenest/answer/7072284. Accessed 16 Aug 2020
Kozlov, D., Veijalainen, J., Ali, Y.: Security and privacy threats in IoT architectures. In: BODYNETS, pp. 256–262 (2012)
Lee, Y.T., Hsiao, W.H., Lin, Y.S., Chou, S.C.T.: Privacy-preserving data analytics in cloud-based smart home with community hierarchy. IEEE Trans. Consumer Electr. 63(2), 200–207 (2017)
Mi, X., Qian, F., Zhang, Y., Wang, X.: An empirical characterization of IFTTT: ecosystem, usage, and performance. In: 2017 Internet Measurement Conference, pp. 398–404 (2017)
Sohn, M.N.: Security and privacy threats in IoT architectures, p. 71 (2017)
Ziegeldorf, J.H., Morchon, O.G., Wehrle, K.: Privacy in the internet of things: threats and challenges. Secur. Commun. Networks 7(12), 2728–2742 (2014)
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Boukharrou, R., Chaouche, AC., Mahdjar, K. (2021). Toward a Privacy Guard for Cloud-Based Home Assistants and IoT Devices. In: Bouzefrane, S., Laurent, M., Boumerdassi, S., Renault, E. (eds) Mobile, Secure, and Programmable Networking. MSPN 2020. Lecture Notes in Computer Science(), vol 12605. Springer, Cham. https://doi.org/10.1007/978-3-030-67550-9_12
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