Power mobile Internet of Things information security terminal architecture based on big data analysis

Jinming Zhang; Jia Shen

doi:10.1117/12.2625249

6 December 2021 Power mobile Internet of Things information security terminal architecture based on big data analysis

Jinming Zhang, Jia Shen

Proceedings Volume 12085, International Conference on Green Communication, Network, and Internet of Things (GCNIoT 2021); 120850I (2021) https://doi.org/10.1117/12.2625249
Event: 2021 International Conference on Green Communication, Network, and Internet of Things, 2021, Kunming, China

Abstract

Due to the characteristics of large volume, multiple types and fast speed of power grid data, traditional methods have been unable to process power big data. Therefore, this study proposes the information security terminal architecture of mobile Internet of Things in power industry based on big data analysis, and presents the architecture of the whole system. Based on the Yarn cluster computing system that supports Spark, Hadoop technology, wireless communication technology, Internet technology, sensing technology and so on are used to provide the solution of big data storage and terminal collection of the system, and the existing difficulties and problems are analyzed. The main difficulty of big data construction lies in that HadOOP platform itself is only one of the technical means to achieve big data platform. Therefore, the main difficulty of this paper is how to construct a more reasonable data organization mode and determine the source and organization form of associated data from the actual application requirements of the power industry, so as to truly mine as much value-added information as possible from the large database.

Citation Download Citation

Jinming Zhang and Jia Shen "Power mobile Internet of Things information security terminal architecture based on big data analysis", Proc. SPIE 12085, International Conference on Green Communication, Network, and Internet of Things (GCNIoT 2021), 120850I (6 December 2021); https://doi.org/10.1117/12.2625249

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