Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends

Hayat Mohammad Khan, Abid Khan, Basheir Khan and Gwanggil Jeon ()
Additional contact information
Hayat Mohammad Khan: Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan
Abid Khan: College of Science and Engineering, University of Derby, Derby DE22 1GB, UK
Basheir Khan: Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan
Gwanggil Jeon: Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Republic of Korea

Energies, 2022, vol. 15, issue 24, 1-17

Abstract: Secure data aggregation is an important process that enables a smart meter to perform efficiently and accurately. However, the fault tolerance and privacy of the user data are the most serious concerns in this process. While the security issues of Smart Grids are extensively studied, these two issues have been ignored so far. Therefore, in this paper, we present a comprehensive survey of fault-tolerant and differential privacy schemes for the Smart Gird. We selected papers from 2010 to 2021 and studied the schemes that are specifically related to fault tolerance and differential privacy. We divided all existing schemes based on the security properties, performance evaluation, and security attacks. We provide a comparative analysis for each scheme based on the cryptographic approach used. One of the drawbacks of existing surveys on the Smart Grid is that they have not discussed fault tolerance and differential privacy as a major area and consider them only as a part of privacy preservation schemes. On the basis of our work, we identified further research areas that can be explored.

Keywords: Smart Grid; fault tolerance; differential privacy; privacy preserving; data aggregation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/24/9350/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/24/9350/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:24:p:9350-:d:999176

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().