@inproceedings{5d3b1246a3df44fabee18fdf32fd97b3,
title = "A Privacy-Orientated Distributed Data Storage Model for Smart Homes",
abstract = "With the wide adoption of smart home devices, users are concerned with what sensitive data these devices may be collecting and what that data may be used for. This paper proposes a way to reduce the level of dis-trust between the end-users and the companies that offer smart home hard-ware and/or personalised software services by allowing end-users to retain an optimal degree of control over their personal data (such as voice and video recordings) which is typically collected by the service provider and stored on the service provider{\textquoteright}s cloud platform.",
keywords = "IoT, Privacy, Smart Devices, User Data Collection",
author = "Khutso Lebea and Leung, {Wai Sze}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 ; Conference date: 23-07-2023 Through 28-07-2023",
year = "2023",
doi = "10.1007/978-3-031-35822-7_13",
language = "English",
isbn = "9783031358210",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "184--193",
editor = "Abbas Moallem",
booktitle = "HCI for Cybersecurity, Privacy and Trust - 5th International Conference, HCI-CPT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings",
address = "Germany",
}