Smart connected homes : concepts, risks, and challenges

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Smart connected homes : concepts, risks, and challenges

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Public defence 2018-09-03
Time 15:15
Location Storm, Gäddan
Faculty examiner Jan Persson, Fakulteten för teknik och samhälle, Datavetenskap
Publication Licentiate Thesis
Title Smart connected homes : concepts, risks, and challenges
Author Bugeja, Joseph
Date 2018
English abstract
The growth and presence of heterogeneous connected devices inside the home have the potential to provide increased efficiency and quality of life to the residents. Simultaneously, these devices tend to be Internet-connected and continuously monitor, collect, and transmit data about the residents and their daily lifestyle activities. Such data can be of a sensitive nature, such as camera feeds, voice commands, physiological data, and more. This data allows for the implementation of services, personalization support, and benefits offered by smart home technologies. Alas, there has been a rift of security and privacy attacks on connected home devices that compromise the security, safety, and privacy of the occupants. In this thesis, we provide a comprehensive description of the smart connected home ecosystem in terms of its assets, architecture, functionality, and capabilities. Especially, we focus on the data being collected by smart home devices. Such description and organization are necessary as a precursor to perform a rigorous security and privacy analysis of the smart home. Additionally, we seek to identify threat agents, risks, challenges, and propose some mitigation approaches suitable for home environments. Identifying these is core to characterize what is at stake, and to gain insights into what is required to build more robust, resilient, secure, and privacy-preserving smart home systems. Overall, we propose new concepts, models, and methods serving as a foundation for conducting deeper research work in particular linked to smart connected homes. In particular, we propose a taxonomy of devices; classification of data collected by smart connected homes; threat agent model for the smart connected home; and identify challenges, risks, and propose some mitigation approaches.
DOI https://doi.org/10.24834/2043/25061 (link to publisher's fulltext.)
Publisher Malmö university. Faculty of Technology and Society
Series/Issue Studies in Computer Science;7
ISBN 9789171049292
9789171049308
Language eng (iso)
Subject Smart Connected Homes
Internet of Things
Smart Home Devices
Data Lifecycle
Security Risks
Privacy Management
Vulnerability Assessment
Security Mitigations
Threat Agents
Smart Home Services
System Architecture
Technology
Research Subject Categories::TECHNOLOGY
Included papers
  1. I. Bugeja, J., Jacobsson, A., & Davidsson, P. (2018). Smart Connected Homes. In : Internet of Things A to Z Technologies and Applications (1st ed., pp. 359 – 384). IEEE John Wiley & Sons

  2. II. Bugeja, J., Jacobsson, A., & Davidsson, P. (2016). On Privacy and Security Challenges in Smart Connected Homes (pp. 172–175). In: Proceedings of the 2016 Intelligence and Security Informatics Conference (EISIC 2016). IEEE.

  3. III. Bugeja, J., Jacobsson, A., & Davidsson, P. (2017). An Analysis of Malicious Threat Agents for the Smart Connected Home (pp. 557–562). In: Proceedings of the International Conference on Pervasive Computing and Communications Conference (The First International Workshop on Pervasive Smart Living Spaces 2017). IEEE.

  4. IV. Bugeja, J., Jönsson, D., & Jacobsson, A. (2018). An Investigation of Vulnerabilities in Smart Connected Cameras. In: Proceedings of the International Conference on Pervasive Computing and Communications Conference (The Second International Workshop on Pervasive Smart Living Spaces 2018). IEEE.

  5. V. Bugeja, J., Davidsson, P., & Jacobsson, A. (2018). Functional Classification and Quantitative Analysis of Smart Connected Home Devices (pp. 144–149). In: Proceedings of the Global IoT Summit (GIoTS 2018). IEEE.

  6. VI. Bugeja, J., Jacobsson, A., & Davidsson, P. (2018). An Empirical Analysis of Smart Connected Home Data (pp. 134–149). In: Proceedings of the Internet of Things (ICIOT 2018). Lecture Notes in Computer Science, vol 10972. Springer International Publishing.

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