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.
Cite
CITATION STYLE
Möllers, F., Vogelgesang, S., Krüger, J., Echizen, I., & Sorge, C. (2018). Modelling traffic analysis in home automation systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11261 LNCS, pp. 526–536). Springer Verlag. https://doi.org/10.1007/978-3-030-02641-7_27
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