Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods

Aniketh Girish; Vijay Prakash; Serge Egelman; Joel Reardon; Juan Tapiador; Danny Yuxing Huang; Srdjan Matic; Narseo Vallina-Rodriguez

doi:10.1145/3565477.3569148

Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods

Aniketh Girish, Vijay Prakash, Serge Egelman, Joel Reardon, Juan Tapiador, Danny Yuxing Huang, Srdjan Matic, Narseo Vallina-Rodriguez

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The growth of the number of Internet of Things (IoT) devices in the home has introduced unprecedented challenges for preserving consumers' privacy. To enhance the transparency and trustworthiness of IoT products, industry actors, regulators and standardization bodies have proposed several certifications processes. While previous research developed methodologies to expose a wide range of harmful behaviors in smart home devices, the research community has not yet produced scalable methods to exhaustively detect information leakage in heterogeneous environments so that they can be effectively used for independent certification processes. Research questions such as to what extent is it possible to automatically and independently validate high-level privacy properties and can we evaluate the correctness of privacy controls in a smart home by analyzing the home traffic? remain open. This paper explores and discusses open research challenges in this complex domain and sketches a roadmap to build scalable methods for smart home privacy testing.

Original language	English (US)
Title of host publication	CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022
Publisher	Association for Computing Machinery, Inc
Pages	26-28
Number of pages	3
ISBN (Electronic)	9781450399371
DOIs	https://doi.org/10.1145/3565477.3569148
State	Published - Dec 9 2022
Event	3rd ACM International CoNEXT Student Workshop, CoNEXT-SW 2022, co-located with the 18th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2022 - Rome, Italy Duration: Dec 9 2022 → …

Publication series

Name	CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022

Conference

Conference	3rd ACM International CoNEXT Student Workshop, CoNEXT-SW 2022, co-located with the 18th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2022
Country/Territory	Italy
City	Rome
Period	12/9/22 → …

Keywords

IoT
measurement techniques
privacy
testing strategies

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1145/3565477.3569148

Cite this

Girish, A., Prakash, V., Egelman, S., Reardon, J., Tapiador, J., Huang, D. Y., Matic, S., & Vallina-Rodriguez, N. (2022). Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods. In CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022 (pp. 26-28). (CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022). Association for Computing Machinery, Inc. https://doi.org/10.1145/3565477.3569148

Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods. / Girish, Aniketh; Prakash, Vijay; Egelman, Serge et al.
CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022. Association for Computing Machinery, Inc, 2022. p. 26-28 (CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Girish, A, Prakash, V, Egelman, S, Reardon, J, Tapiador, J, Huang, DY, Matic, S & Vallina-Rodriguez, N 2022, Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods. in CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022. CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022, Association for Computing Machinery, Inc, pp. 26-28, 3rd ACM International CoNEXT Student Workshop, CoNEXT-SW 2022, co-located with the 18th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2022, Rome, Italy, 12/9/22. https://doi.org/10.1145/3565477.3569148

Girish A, Prakash V, Egelman S, Reardon J, Tapiador J, Huang DY et al. Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods. In CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022. Association for Computing Machinery, Inc. 2022. p. 26-28. (CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022). doi: 10.1145/3565477.3569148

Girish, Aniketh ; Prakash, Vijay ; Egelman, Serge et al. / Challenges in inferring privacy properties of smart devices : Towards scalable multi-vantage point testing methods. CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022. Association for Computing Machinery, Inc, 2022. pp. 26-28 (CoNEXT-SW 2022 - Proceedings of the International CoNEXT Student Workshop 2022, Part CoNEXT 2022).

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Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods

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Keywords

ASJC Scopus subject areas

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