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Certificateless Provable Data Possession Scheme for Cloud-Based Smart Grid Data Management Systems

Producción científica: Articlerevisión exhaustiva

88 Citas (Scopus)

Resumen

The smart grid is considered to be the next-generation power system because of its reliability, efficiency, and cost-effectiveness. In recent years, the smart grid technology has attracted a lot of attention from both academia and industry. Advances in smart grid technologies are enabling more data to be collected and analyzed in real-time for many kinds of smart grid applications. As the amount of data increases, the traditional smart grid data management system cannot provide sufficient storage and processing capacities. To address these challenges, cloud computing is being introduced into the power system and the cloud-based smart grid data management system has been proposed to better support smart grid applications. In this cloud-based system, the data are stored and analyzed by the remote cloud server according to the requirements of smart grid applications. However, the loss of physical control over the smart grid data makes it a significant challenge in ensuring the integrity of the data. Many provable data possession schemes have been proposed in the past few years. However, most of them suffer from serious security weaknesses or poor performance. We propose an efficient certificateless provable data possession (CL-PDP) scheme for cloud-based smart grid applications. Security analysis shows that the proposed scheme is provably secure in a robust security model and can satisfy several security requirements. Performance analysis demonstrates that the proposed scheme results in lower computation costs as compared to two recently proposed CL-PDP schemes.

Idioma originalEnglish
Páginas (desde-hasta)1232-1241
Número de páginas10
PublicaciónIEEE Transactions on Industrial Informatics
Volumen14
N.º3
DOI
EstadoPublished - mar 2018

Nota bibliográfica

Publisher Copyright:
© 2005-2012 IEEE.

Financiación

Manuscript received March 30, 2017; revised August 7, 2017; accepted October 7, 2017. Date of publication October 10, 2017; date of current version March 1, 2018. This work of D. He was supported in part by the National Natural Science Foundation of China under Grant 61501333, Grant 61572379, Grant 61572370, and Grant U1536204, in part by the National High-Tech Research and Development Program of China (863 Program) under Grant 2015AA016004, and in part by the Natural Science Foundation of Hubei Province of China under Grant 2015CFB257. The work of H. Wang was sponsored by Qing Lan Project of Jiangsu Province and 1311 Talent Plan Foundation of Nanjing University of Posts and Telecommunications. Paper no. TII-17-0593. (Corresponding author: Debiao He.) D. He is with the State Key Lab of Software Engineering, Computer School, Wuhan University, Wuhan 430072, China and the State Key Laboratory of Cryptology, P.O. Box 5159, Beijing, 100878, China (e-mail: [email protected]).

FinanciadoresNúmero del financiador
Qing Lan Project of Jiangsu Province and 1311 Talent Plan Foundation of Nanjing University of Posts and Telecommunications
National Natural Science Foundation of China (NSFC)61572379, U1536204, 61501333, 61572370
Natural Science Foundation of Hubei Province2015CFB257
National High-tech Research and Development Program2015AA016004

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Affordable and clean energy
      Affordable and clean energy

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Information Systems
    • Computer Science Applications
    • Electrical and Electronic Engineering

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