Abstract
Increasing concerns about the potential for privacy breaches cast doubt on the future of smart homes. Specifically, wireless snooping-based attacks that target home networks have demonstrated their capacity to illegitimately infer daily activities within the home. This paper reviews the fundamental strategies for safeguarding the personal data of the home residents and evaluates the efficacy of existing privacy-protecting solutions that are built upon the reviewed strategies. The study will show that, while some solutions established a reliable level of home data privacy protection, their negative effects on other system characteristics are significant, emphasizing the need for an ideal compromise between these elements. These factors are the provided privacy rate, impact on the system’s response time, and energy consumption of privacy-protecting approaches. This overview of current research will aid in understanding the existing drawbacks and indicate potential avenues for future research.
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Acknowledgment
This research was financially supported by the Research Excellence Consortium in IoT Security fund from Ministry of Higher Education Malaysia. The research grant number: JPT(BKPI)1000/016/018/25(49).
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Nassiri Abrishamchi, M.A., Zainal, A. (2023). Review of Smart Home Privacy-Protecting Strategies from a Wireless Eavesdropping Attack. In: Wah, Y.B., Berry, M.W., Mohamed, A., Al-Jumeily, D. (eds) Data Science and Emerging Technologies. DaSET 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 165. Springer, Singapore. https://doi.org/10.1007/978-981-99-0741-0_11
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DOI: https://doi.org/10.1007/978-981-99-0741-0_11
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