Survey of Security Advances in Smart Grid: A Data Driven Approach

Song Tan, Debraj De, Wen Zhan Song, Junjie Yang, Sajal K. Das

Research output: Contribution to journalReview articlepeer-review

214 Scopus citations

Abstract

With the integration of advanced computing and communication technologies, smart grid is considered as the next-generation power system, which promises self healing, resilience, sustainability, and efficiency to the energy critical infrastructure. The smart grid innovation brings enormous challenges and initiatives across both industry and academia, in which the security issue emerges to be a critical concern. In this paper, we present a survey of recent security advances in smart grid, by a data driven approach. Compared with existing related works, our survey is centered around the security vulnerabilities and solutions within the entire lifecycle of smart grid data, which are systematically decomposed into four sequential stages: 1) data generation; 2) data acquisition; 3) data storage; and 4) data processing. Moreover, we further review the security analytics in smart grid, which employs data analytics to ensure smart grid security. Finally, an effort to shed light on potential future research concludes this paper.

Original languageEnglish
Article number7588049
Pages (from-to)397-422
Number of pages26
JournalIEEE Communications Surveys and Tutorials
Volume19
Issue number1
DOIs
StatePublished - Jan 1 2017
Externally publishedYes

Funding

This work was supported by National Science Foundation under Grant NSF-1125165, Grant NSF-1135814, Grant NSF-1303359, Grant NSF-1442630, Grant NSF-1066391, Grant NSFC-61202369, Grant NSF CNS-1545037, and Grant NSF CNS-1545050.

Keywords

  • Data-driven
  • security
  • smart grid
  • survey

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