TY - GEN
T1 - Data integrity attacks against the distributed real-time pricing in the smart grid
AU - Yang, Xinyu
AU - Zhang, Xialei
AU - Lin, Jie
AU - Yu, Wei
AU - Fu, Xinwen
AU - Zhao, Wei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/17
Y1 - 2017/1/17
N2 - In 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.
AB - In 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.
KW - Data integrity attacks
KW - Distributed real-time pricing
KW - Smart grid
KW - Vulnerabilities analysis
UR - https://www.scopus.com/pages/publications/85013441181
U2 - 10.1109/PCCC.2016.7820657
DO - 10.1109/PCCC.2016.7820657
M3 - 会议稿件
AN - SCOPUS:85013441181
T3 - 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016
BT - 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th IEEE International Performance Computing and Communications Conference, IPCCC 2016
Y2 - 9 December 2016 through 11 December 2016
ER -
