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


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.


Computer Science

Research Center/Lab(s)

Center for High Performance Computing Research


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 and Phrases

Data acquisition; Data handling; Digital storage; Electric power transmission networks; Surveying; Surveys; Communication technologies; Data driven; Data-driven approach; Entire life cycles; security; Security Analytics; Security vulnerabilities; Smart grid; Smart power grids; Data-driven

International Standard Serial Number (ISSN)


Document Type

Article - Journal

Document Version


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© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2017