TY  - JOUR
AU  - Stach, Christoph
AU  - Bräcker, Julia
AU  - Eichler, Rebecca
AU  - Giebler, Corinna
AU  - Gritti, Clémentine
T1  - How to Provide High-Utility Time Series Data in a Privacy-Aware Manner: A VAULT to Manage Time Series Data
JO  - International Journal on Advances in Security
Y1  - 2020/december
VL  - 13
IS  - 3 & 4
SP  - 88
EP  - 108
UR  - http://www.iariajournals.org/security/
KW  - Time Series Data; Privacy Filters; Aggregation; Interpolation; Smoothing; Information Emphasis; Noise; Data Quality; Authentication; Permission Model; Data Management
U1  - 1942-2636
N2  - Smart Services enrich many aspects of our daily lives, such as in the Ambient Assisted Living (AAL) domain, where the well-being of patients is automatically monitored, and patients have more autonomy as a result. A key enabler for such services is the Internet of Things (IoT). Using IoT-enabled devices, large amounts of (partly private) data are continuously captured, which can be then gathered and analyzed by Smart Services. Although these services bring many conveniences, they therefore also pose a serious threat to privacy. In order to provide the highest quality of service, they need access to as many data as possible and even reveal more private information due to in-depth data analyses. To ensure privacy, however, data minimization is required. Users are thus forced to balance between service quality and privacy. Current IoT privacy approaches do not reflect this discrepancy properly. Furthermore, as users are often not experienced in the proper handling of privacy mechanisms, this leads to an overly restrictive behavior. Instead of charging users with privacy control, we introduce VAULT, a novel approach towards a privacy-aware management of sensitive data. Since in the IoT time series data have a special position, VAULT is particularly tailored to this kind of data. It attempts to achieve the best possible tradeoff between service quality and privacy for each user. To this end, VAULT manages the data and enables a demand-based and privacy-aware provision of the data, by applying appropriate privacy filters which fulfill not only the quality requirements of the Smart Services but also the privacy requirements of users. In doing so, VAULT pursues a Privacy by Design approach.
ER  -