TY - JOUR
T1 - Impact Assessment and Defense for Smart Grids With FDIA Against AMI
AU - Bi, Jichao
AU - Luo, Fengji
AU - Liang, Gaoqi
AU - Yang, Xiaofan
AU - He, Shibo
AU - Dong, Zhao Yang
PY - 2023/3
Y1 - 2023/3
N2 - Cyber-physical security has been becoming an important issue for many critical infrastructures in human society, including electrical power grids. This paper proposes an impact assessment framework for smart grids suffering false data injection attack against smart meters. Firstly, the propagation model of malicious false data codes in smart meter communication networks is established. Based on this, a security-constrained economic dispatch model is formulated to assess how false data codes would mislead the grid operator's actions. A defense strategy is proposed, which enhances the grid's vulnerability through effectively deploying defense resources in smart meter networks. Extensive numerical simulations are conducted to evaluate the impact of different attack scenarios as well as the effectiveness of the defense strategy. © 2022 IEEE.
AB - Cyber-physical security has been becoming an important issue for many critical infrastructures in human society, including electrical power grids. This paper proposes an impact assessment framework for smart grids suffering false data injection attack against smart meters. Firstly, the propagation model of malicious false data codes in smart meter communication networks is established. Based on this, a security-constrained economic dispatch model is formulated to assess how false data codes would mislead the grid operator's actions. A defense strategy is proposed, which enhances the grid's vulnerability through effectively deploying defense resources in smart meter networks. Extensive numerical simulations are conducted to evaluate the impact of different attack scenarios as well as the effectiveness of the defense strategy. © 2022 IEEE.
KW - advanced metering infrastructure
KW - cyber security
KW - False data injection attack
KW - smart grid
KW - smart meter
UR - http://www.scopus.com/inward/record.url?scp=85137565037&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85137565037&origin=recordpage
U2 - 10.1109/TNSE.2022.3197682
DO - 10.1109/TNSE.2022.3197682
M3 - RGC 21 - Publication in refereed journal
SN - 2327-4697
VL - 10
SP - 578
EP - 591
JO - IEEE Transactions on Network Science and Engineering
JF - IEEE Transactions on Network Science and Engineering
IS - 2
ER -
