UM
Data integrity attacks against the distributed real-time pricing in the smart grid
Yang, Xinyu1; Zhang, Xialei1; Lin, Jie1; Yu, Wei2; Fu, Xinwen3; Zhao, Wei4
2017-01-17
Conference Name35th IEEE International Performance Computing and Communications Conference, IPCCC 2016
Source Publication2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016
Conference Date129, 2016 - 1211, 2016
Conference PlaceLas Vegas, NV, United states
Author of SourceInstitute of Electrical and Electronics Engineers Inc.
AbstractIn this paper, we address the issue of designing an effective distributed real-time pricing scheme in the smart grid and investigating its security resilience when the data integrity attack is in place. Different from existing research efforts, in this paper we develop a distributed real-time pricing scheme, which can maximize the welfare of all participants and improve the resilience to system failures, as well as consider both renewable and traditional power resources. By leveraging the distributed approach, we leverage the gradient projection mechanism to solve the distributed real-time pricing problem in participants' smart meters to improve the resilience to system failures. We also investigate the vulnerabilities of the distributed real-time pricing scheme by considering one typical data integrity attack, which can inject false data into communication interfaces. Via a combination of both theoretical analysis and performance evaluation, we demonstrate that the proposed distributed scheme can effectively guide the participants to achieve individual welfare maximization. Our findings also show that data integrity attacks can disrupt the distributed real-time pricing, posing a damage to the welfare of participants. © 2016 IEEE.
DOI10.1109/PCCC.2016.7820657
Language英语
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Xi'an Jiaotong University, Shaanxi, China;
2.Towson University, MD; 21252, United States;
3.University of Massachusetts Lowell, Lowell; MA; 01854, United States;
4.University of Macau, China
Recommended Citation
GB/T 7714
Yang, Xinyu,Zhang, Xialei,Lin, Jie,et al. Data integrity attacks against the distributed real-time pricing in the smart grid[C]//Institute of Electrical and Electronics Engineers Inc.,2017.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, Xinyu]'s Articles
[Zhang, Xialei]'s Articles
[Lin, Jie]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, Xinyu]'s Articles
[Zhang, Xialei]'s Articles
[Lin, Jie]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, Xinyu]'s Articles
[Zhang, Xialei]'s Articles
[Lin, Jie]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.