New Data Aggregation Study Findings Have Been Reported by Investigators at Hangzhou Dianzi University (An Efficient and Robust Multidimensional Data Aggregation Scheme for Smart Grid Based On Blockchain)

2023 MAR 23 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Daily -- New research on Information Technology - Data Aggregation is the subject of a report. According to news originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “In order to analyze real-time power data without revealing users’ privacy, privacy-preserving data aggregation schemes have been extensively researched in smart grid. However, most of the existing schemes either can only allow stationary users, or require a trusted center.”

Funders for this research include National Natural Science Foundation of China (NSFC), Key Program of the Natural Science Foundation of Zhejiang Province of China.

Our news journalists obtained a quote from the research from Hangzhou Dianzi University, “In this paper, we propose an efficient and robust multidimensional data aggregation scheme based on blockchain. In our scheme, a leader election algorithm in Raft protocol is used to select a mining node from all smart meters to aggregate data. A dynamically verifiable secret sharing homomorphism scheme is adopted to realize flexible dynamic user management. In addition, our scheme can not only resist internal and external attacks but also support multidimensional data aggregation and fault tolerance. The security analysis shows that our proposed scheme is IND-CPA secure and can meet stronger security features.”

According to the news editors, the research concluded: “The experimental results show that compared with other schemes, our scheme can be implemented with lower computation and communication overhead.”

This research has been peer-reviewed.

For more information on this research see: An Efficient and Robust Multidimensional Data Aggregation Scheme for Smart Grid Based On Blockchain. IEEE Transactions on Network and Service Management, 2022;19(4):3949-3959. IEEE Transactions on Network and Service Management 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 Network and Service Management - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4275028)

The news correspondents report that additional information may be obtained from Lin You, Hangzhou Dianzi University, Sch Cyberspace, Hangzhou 310018, People’s Republic of China. Additional authors for this research include Xinhua Zhang and Gengran Hu.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TNSM.2022.3217312. 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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