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Data from Wuhan University of Technology Advance Knowledge in Data Aggregation (Secure and Fine-grained Electricity Consumption Aggregation Scheme for Smart Grid)

Source: 
Information Technology Daily

2019 APR 12 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Daily -- Current study results on Information Technology - Data Aggregation have been published. According to news reporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Currently, many of schemes for smart grid data aggregation are based on a one-level gateway (GW) topology. Since the data aggregation granularity in this topology is too single, the control center (CC) is unable to obtain more fine-grained data aggregation results for better monitoring smart grid.”

Funders for this research include National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, Natural Science Foundation of Hubei Province.

Our news editors obtained a quote from the research from the Wuhan University of Technology, “To improve this issue, Shen et al. propose an efficient privacy-preserving cube-data aggregation scheme in which the system model consists of two-level GW. However, a risk exists in their scheme that attacker could forge the signature by using leaked signing keys. In this paper, we propose a secure and fine-grained electricity consumption aggregation scheme for smart grid, which employs the homomorphic encryption to implement privacy-preserving aggregation of users’ electricity consumption in the two-level GW smart grid. In our scheme, CC can achieve a flexible electricity regulation by obtaining data aggregation results of various granularities. In addition, our scheme uses the forward-secure signature with backward-secure detection (FSBD) technique to ensure the forward-backward secrecy of the signing keys. Security analysis and experimental results demonstrate that the proposed scheme can achieve forward-backward security of user’s electricity consumption signature.”

According to the news editors, the research concluded: “Compared with related schemes, our scheme is more secure and efficient.”

For more information on this research see: Secure and Fine-grained Electricity Consumption Aggregation Scheme for Smart Grid. KSII Transactions on Internet and Information Systems, 2018;12(4):1553-1571. KSII Transactions on Internet and Information Systems can be contacted at: Ksii-Kor Soc Internet Information, Kor Sci & Technol Ctr, 409 On 4TH Flr, Main Bldg, 635-4 Yeoksam 1-Dong, Gangnam-Gu, Seoul 00000, South Korea.

The news editors report that additional information may be obtained by contacting Y.X. Su, Wuhan University of Technology, School of Automation, Wuhan 430070, Wh, People’s Republic of China. Additional authors for this research include G. Shen, D.H. Zhang, H.J. Zhang, B.Y. Xiong and M.W. Zhang.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.3837/tiis.2018.04.009. 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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