The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Survey of Security Advances in Smart Grid: A Data Driven Approach
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.
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Citations
Cites
A Taxonomy of Cyber Attacks on SCADA Systems
Zhu, B., Joseph, A., & Sastry, S. (2011) · 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing · doi:10.1109/ithings/cpscom.2011.34 · Cited by 458 · cited 2×
“It is deeply ingrained in the fabric of critical infrastructure sectors [13].”
BackgroundSecurity aspects of future renewable energy systems–A short overview
Johansson, B. (2013) · Energy · doi:10.1016/j.energy.2013.09.023 · Cited by 268
Cited by
Cyber-security on smart grid: Threats and potential solutions
Gunduz, M. Z., & Das, R. (2020) · Computer Networks · doi:10.1016/j.comnet.2019.107094 · Cited by 717
A survey of physics-based attack detection in cyber-physical systems
Giraldo, J., Urbina, D., Cardenas, A., Valente, J., Faisal, M., Ruths, J., Tippenhauer, N. O., Sandberg, H., & Candell, R. (2019) · ACM Computing Surveys · doi:10.1145/3203245 · Cited by 535
Hossain, E., Khan, I., Un-Noor, F., Sikander, S. S., & Sunny, M. S. H. (2019) · IEEE Access · doi:10.1109/access.2019.2894819 · Cited by 513
DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids
Ferrag, M. A., & Maglaras, L. (2020) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2019.2922936 · Cited by 358
Habibzadeh, H., Nussbaum, B. H., Anjomshoa, F., Kantarci, B., & Soyata, T. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101660 · Cited by 303
Metadata
- Authors
- Tan, S., De, D., Song, W.-Z., Yang, J., & Das, S. K.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2017
- Volume
- 19
- Issue
- 1
- Pages
- 397-422
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2530565048
- Cited by
- 265
- References
- 2
- FWCI
- 23.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tan, S., De, D., Song, W.-Z., Yang, J., & Das, S. K. (2017). Survey of Security Advances in Smart Grid: A Data Driven Approach. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2016.2616442
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