Gridmonitoring: secured sovereign blockchain based monitoring on smart grid
Open accessAbstract
Electricity is the commonest commodity for most businesses in our world today. The use of electricity has been a breakthrough for the discovery of new technologies and has become the main driving force behind several innovations. With the introduction of smart grid systems, there have been improvements in how utility companies interact with their customers with regards to electricity use. However, since the readings are done via the Internet, there is the tendency for the data to be compromised when it gets into the hands of the wrong people. Moreover, customers mostly do not know why they pay huge amounts and which appliances use more electricity, since they are not privy to the readings. The sovereign blockchain technology, which provides transparency and provenance, is utilized in this paper to mitigate these above mentioned problems. A smart contract, which executes laid down procedures to provide a trust-based system between participants on the network is also implemented. Our system proves very efficient as the user can monitor how the electricity is used, and it also provides a platform where there is no manipulation from either party.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The adaptation of blockchain potentially solves privacy concerns in vehicular edge computing by establishing a secure communication channel empowered by immutable transaction ledgers.
“The adaption of blockchain potentially solves such challenges by establishing a secure communication channel empowered by immutable transaction ledgers.”
From Blockchain for 5G and beyond networks: A state of the art survey (2020) · cites this paper as [80]
Cites
Smart Grid — The New and Improved Power Grid: A Survey
Fang, X., Misra, S., Xue, G., & Yang, D. (2011) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.101911.00087 · Cited by 3,418 · see citing works
Smart Grid Technologies: Communication Technologies and Standards
Güngör, V. Ç., Sahin, D., Koçak, T., Ergüt, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2166794 · Cited by 2,694 · see citing works
On Global Electricity Usage of Communication Technology: Trends to 2030
Andrae, A., & Edler, T. (2015) · Challenges · doi:10.3390/challe6010117 · Cited by 1,334 · see citing works
MeDShare: Trust-Less Medical Data Sharing Among Cloud Service Providers via Blockchain
Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., & Guizani, M. (2017) · IEEE Access · doi:10.1109/access.2017.2730843 · Cited by 1,148 · see citing works
Self-citationSmart Transmission Grid: Vision and Framework
Li, F. F., Qiao, W., Sun, H., Wan, H., Wang, J., Xia, Y. C., Xu, Z., & Zhang, P. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2053726 · Cited by 963 · see citing works
A survey on the communication architectures in smart grid
Wang, W., Xu, Y., & Khanna, M. (2011) · Computer Networks · doi:10.1016/j.comnet.2011.07.010 · Cited by 788 · see citing works
A survey on smart metering and smart grid communication
Kabalcı, Y. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.114 · Cited by 646 · see citing works
Security Technology for Smart Grid Networks
Metke, A. R., & Ekl, R. L. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2046347 · Cited by 612 · see citing works
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey
Alahakoon, D., & Yu, X. (2015) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2015.2414355 · Cited by 597 · see citing works
BBDS: Blockchain-Based Data Sharing for Electronic Medical Records in Cloud Environments
Xia, Q., Sifah, E. B., Smahi, A., Amofa, S. K., & Zhang, X. (2017) · Information · doi:10.3390/info8020044 · Cited by 579 · see citing works
Self-citationSalahuddin, M., & Alam, K. (2016) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2015.11.005 · Cited by 377 · see citing works
Information communication technology and electricity consumption in emerging economies
Sadorsky, P. (2012) · Energy Policy · doi:10.1016/j.enpol.2012.04.064 · Cited by 355 · see citing works
Blockchain for smart grid resilience: Exchanging distributed energy at speed, scale and security
Mylrea, M., & Gourisetti, S. N. G. (2017) · Resilience Week (RWS) · doi:10.1109/rweek.2017.8088642 · Cited by 339 · see citing works
Smart Meters in Smart Grid: An Overview
Zheng, J., Gao, W., & Li, L. (2013) · IEEE Green Technologies Conference (GreenTech) · doi:10.1109/greentech.2013.17 · Cited by 333 · see citing works
Blockchain contract: Securing a blockchain applied to smart contracts
Watanabe, H., Fujimura, S., Nakadaira, A., Miyazaki, Y., Akutsu, A., & Kishigami, J. J. (2016) · International Conference on Consumer Electronics · doi:10.1109/icce.2016.7430693 · Cited by 259 · see citing works
The Internet of Energy: Smart Sensor Networks and Big Data Management for Smart Grid
Jaradat, M., Jarrah, M., Bousselham, A., Jararweh, Y., & Al‐Ayyoub, M. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.07.250 · Cited by 228 · see citing works
The benefits of integrating European electricity markets
Newbery, D., Štrbac, G., & Viehoff, I. (2016) · Energy Policy · doi:10.1016/j.enpol.2016.03.047 · Cited by 226 · see citing works
Smart Grid Data Cloud: A Model for Utilizing Cloud Computing in the Smart Grid Domain
Rusitschka, S., Eger, K., & Gerdes, C. (2010) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgrid.2010.5622089 · Cited by 225 · see citing works
Wireless Charging of Electric Vehicles in Electricity and Transportation Networks
Manshadi, S. D., Khodayar, M. E., Abdelghany, K. F., & Üster, H. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2661826 · Cited by 197 · see citing works
Reddy, K. S., Kumar, M., Mallick, T. K., Sharon, H., & Lokeswaran, S. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.05.049 · Cited by 187 · see citing works
Cloud computing and electricity
Brynjolfsson, E., Hofmann, P., & Jordan, J. M. (2010) · Communications of the ACM · doi:10.1145/1735223.1735234 · Cited by 175 · see citing works
A Contract Game for Direct Energy Trading in Smart Grid
Zhang, B., Jiang, C., Yu, J.-L., & Han, Z. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2622743 · Cited by 88 · see citing works
Ekanayake, J. B., Liyanage, K. M., Wu, J., et al. (2012) · Smart Grid · doi:10.1002/9781119968696.ch1 · Cited by 46 · see citing works
Smart meter deployment optimization for efficient electrical appliance state monitoring
Hao, X., Wang, Y., Wu, C., et al. (2012) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgridcomm.2012.6485954 · Cited by 37 · see citing works
Privacy-preserving mobile crowdsensing for located-based applications
Ni, J., Zhang, K., Lin, X. S., et al. (2017) · International Conference on Communications · doi:10.1109/icc.2017.7997116 · Cited by 30 · see citing works
An Identity-Based Security Scheme for a Big Data Driven Cloud Computing Framework in Smart Grid
Ye, F., Qian, Y., & Hu, R. Q. (2015) · Globecom · doi:10.1109/glocom.2015.7417459 · Cited by 19 · see citing works
Design and implementation of privacy preserving billing protocol for smart grid
Fan, C., Huang, S., & Artan, W. (2013) · The Journal of Supercomputing · doi:10.1007/s11227-013-0905-z · Cited by 13 · see citing works
Dual-anonymous reward distribution for mobile crowdsensing
Ni, J., Lin, X. S., Xia, Q., et al. (2017) · International Conference on Communications · doi:10.1109/icc.2017.7996808 · Cited by 4 · see citing works
Self-citationAn Identity-Based Security Scheme for a Big Data Driven Cloud Computing Framework in Smart Grid
Ye, F., Qian, Y., & Hu, R. Q. (2014) · Globecom · doi:10.1109/glocom.2014.7417459 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Blockchain for 5G and beyond networks: A state of the art survey
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102693 · Cited by 412 · see citing works
Bhushan, B., Khamparia, A., Sagayam, K. M., Sharma, S. K., Ahad, M. A., & Debnath, N. C. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102360 · Cited by 353 · see citing works
Blockchain for smart communities: applications, challenges and opportunities
Aggarwal, S., Chaudhary, R., Aujla, G. S., Kumar, N., Choo, K.-K. R., & Zomaya, A. Y. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.06.018 · Cited by 344 · see citing works
Integration of IoT with blockchain and homomorphic encryption: challenging issues and opportunities
(2019) · Advances in computers · doi:10.1016/bs.adcom.2019.06.002 · Cited by 82 · see citing works
Alzoubi, Y. I., Gill, A., & Mishra, A. (2022) · Journal of Cloud Computing · doi:10.1186/s13677-022-00353-y · Cited by 60 · see citing works
- Authors
- Gao, J., Asamoah, K. O., Sifah, E. B., Smahi, A., Xia, Q., Xia, H., Zhang, X., & Dong, G.
- Affiliations
- University of Electronic Science and Technology of China (CN)
- ORCID
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 9917-9925
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2793500626
- Cited by
- 219
- References
- 29
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 23 · 2023: 25 · 2022: 35 · 2021: 33 · 2020: 45 · 2019: 32 · 2018: 11
- FWCI
- 48.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- applied basic research programs of Sichuan Province (2015JY0043)
- Fundamental Research Funds for the Central Universities (ZYGX2015J154, ZYGX2016J152, ZYGX2016J170)
- programs of International Science and Technology Cooperation and Exchange of Sichuan Province (2017HH0028)
- Key Research and Development Projects of High and New Technology Development and Industrialization of Sichuan Province (2017GZ0007)
- National Key Research and Development Program of China (2016QY04WW0802, 2016QY04W0800, 2016QY04WW0803)
- National Engineering Laboratory for Big data application on improving government governance capabilities
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- smart grid, electricity consumption monitoring, smart contracts, data security, transparency, provenance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review