An Efficient Scheme to Secure Data Provenance in Home Area Networks
Paper
Paper/Presentation Title | An Efficient Scheme to Secure Data Provenance in Home Area Networks |
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Presentation Type | Paper |
Authors | Tang, Zhaohui (Author) and Keoh, Sye Loong (Author) |
Journal or Proceedings Title | 2020 IEEE 3rd 5G World Forum (5GWF) Conference Proceedings |
Number of Pages | 6 |
Year | 2020 |
Place of Publication | United States |
ISBN | 9781728173009 |
9781728172996 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/5GWF49715.2020.9221402 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9221346/ |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/9214304/proceeding |
Conference/Event | IEEE 3rd 5G World Forum (5GWF 2020) |
Event Details | IEEE 3rd 5G World Forum (5GWF 2020) Event Date 10 to end of 12 Sep 2020 Event Location Bangalore, India |
Abstract | The 5G technology has raised new security issues in the new communication paradigm as there are more devices in the network. Internet-of-Things devices, including smart home devices, will be allowed to connect, communicate, and share data faster than ever. In the context of a Home Area Network (HAN) where smart home appliances are monitored and controlled in real-time, the explosive growth of networked devices poses an elevated security threat to data provenance. This paper focuses on data provenance issues in a HAN within a smart metering infrastructure. We propose a comprehensive yet efficient solution to guarantee that the reported energy usage is collected from the real appliance as claimed, at the designated location, and that it reflects the real consumption by the appliance. |
Keywords | communication paradigm, Internet-of-Things devices, smart home devices, share data, Home Area Network, HAN, smart home appliances, networked devices, elevated security threat, data provenance issues, smart metering infrastructure |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460403. Data security and protection |
460401. Cryptography | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Sciences |
University of Glasgow, United Kingdom | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5zzw/an-efficient-scheme-to-secure-data-provenance-in-home-area-networks
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