Titlebook: Data and Applications Security and Privacy XXXVII; 37th Annual IFIP WG Vijayalakshmi Atluri,Anna Lisa Ferrara Conference proceedings 2023

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S. Fraga,J. M. R. Parker,J. M. Pocockemain confidential. Thus, in case of an unauthorized distribution of their personal data by these service providers, data owners want to identify the source of such data leakage. We show that applying existing fingerprinting schemes to personal data sharing is vulnerable to the attacks utilizing the

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S. Fraga,J. M. R. Parker,J. M. Pocockion and the privacy concerns of the users living in the spaces hosting these sensors. Privacy models, such as the SITA (Spatial, Identity, Temporal, and Activity) model, can help address this trade-off. In this paper, we focus on the problem of . prediction, which is crucial for health monitoring bu