New Findings from University of Manchester Update Understanding of Data Acquisition (A Secure and Privacy-preserving Protocol for Smart Metering Operational Data Collection)
- Feb 13, 2020 10:29 am GMTFeb 13, 2020 3:13 pm GMT
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2020 FEB 12 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Daily -- New research on Information Technology - Data Acquisition is the subject of a report. According to news reporting from Manchester, United Kingdom, by NewsRx journalists, research stated, “Smart grid allows fine-grained smart metering data collection which can improve the efficiency and reliability of the grid. Unfortunately, this vast collection of data also imposes risks to users’ privacy.”
Financial supporters for this research include Research Council KU Leuven, European Commission through the Horizon 2020 Research and Innovation Programmes under Grant IMPACT ERC Advanced Grant, Flemish Government through FWO SBO Project SNIPPET, Flemish Government through FWO Project Odysseus, DARPA RACE Project, IARPA HECTOR Project, Dame Kathleen Ollerenshaw Fellowship - University of Manchester.
The news correspondents obtained a quote from the research from the University of Manchester, “In this paper, we propose a novel protocol that allows suppliers and grid operators to collect users’ aggregate metering data in a secure and privacy-preserving manner. We use secure multiparty computation to ensure privacy protection. In addition, we propose three different data aggregation algorithms that offer different balances between privacy-protection and performance. Our protocol is designed for a realistic scenario in which the data need to be sent to different parties, such as grid operators and suppliers. Furthermore, it facilitates an accurate calculation of transmission, distribution, and grid balancing fees in a privacy-preserving manner.”
According to the news reporters, the research concluded: “We also present a security analysis and a performance evaluation of our protocol based on existing multiparty computation algorithms.”
For more information on this research see: A Secure and Privacy-preserving Protocol for Smart Metering Operational Data Collection. IEEE Transactions on Smart Grid, 2019;10(6):6481-6490. IEEE Transactions on Smart Grid can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Transactions on Smart Grid - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411)
Our news journalists report that additional information may be obtained by contacting M.A. Mustafa, University of Manchester, School of Computer Science, Manchester M13 9PL, Lancs, United Kingdom. Additional authors for this research include S. Cleemput, A. Aly and A. Abidin.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TSG.2019.2906016. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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