Abstract
The threat of attacks on Home Automation Systems (HASs) is increasing. Research has shown that passive adversaries can detect user habits and interactions. Despite encryption and other measures becoming a standard, traffic analysis remains an unsolved problem. In this paper, we show that existing solutions from different research areas cannot be applied to this scenario. We establish a model for traffic analysis in Home Automation Systems which allows the analysis and comparison of attacks and countermeasures. We also take a look at legal aspects, highlighting problem areas and recent developments.
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This especially holds for questions regarding data retention.
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https://www.coe.int/en/web/conventions/full-list/-/conventions/treaty/185/signatures, last accessed 10 July 2017.
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Möllers, F., Vogelgesang, S., Krüger, J., Echizen, I., Sorge, C. (2018). Modelling Traffic Analysis in Home Automation Systems. In: Capkun, S., Chow, S. (eds) Cryptology and Network Security. CANS 2017. Lecture Notes in Computer Science(), vol 11261. Springer, Cham. https://doi.org/10.1007/978-3-030-02641-7_27
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DOI: https://doi.org/10.1007/978-3-030-02641-7_27
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