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Systematization of Knowledge of Ambient Assisted Living Systems: A Privacy Perspective
Md Sakib Nizam Khan(a),(*), Sonja Buchegger(a)
Transactions on Data Privacy 15:1 (2022) 1 - 40
Abstract, PDF
(a) Division of Theoretical Computer Science, KTH Royal Institute of Technology, Stockholm, SE-100 44, Sweden.
e-mail:msnkhan @kth.se; buc @kth.se
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Abstract
The confluence of several developments make privacy of ambient assisted living (AAL) an increasingly important problem: aging population, scale and availability of sensors (IoT, health monitoring, smart home) leading to higher quality and quantity of sensitive data, and advances in data analysis and learning. Privacy research has not been in sync with these developments. For AAL systems to be useful and used, they need to be trustworthy and protect the users' privacy. We conducted a systematic literature review on recent AAL research to provide a map for potential privacy concerns. We also collected already available commercial systems for a comparison with those found in the academic literature. We were able to distill a common architecture covering most commercial and academic systems, including an inventory of what concerns they address, the technologies they apply, their data handling, and privacy considerations. Based on this outcome, we identified potential intervention points for privacy.
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