RT Journal Article
A1 Md Touhiduzzaman
A1 Adam Hahn
A1 Anurag Srivastava

PB iet
T1 ARCADES: analysis of risk from cyberattack against defensive strategies for the power grid
JN IET Cyber-Physical Systems: Theory & Applications
VO 3
IS 3
SP 119
OP 128
AB In this study, the authors introduce ARCADES (Analysis of Risk from Cyberattack against DEfensive Strategy), a technique to systematically explore the cybersecurity defence strategies based on contingency rankings in power systems. While cybersecurity defensive standards exist, these approaches are primarily based on expert opinions, rather than systematic studies of risk. ARCADES presents an approach to identify improved cybersecurity defensive strategies based on a graph-based cyber-physical security model that is evaluated by resistance-distance metrics and then prioritised based on contingency analysis studies of the system. This study also proposed a technique that identifies the most critical cybersecurity mechanisms to protect the power grid. Planning and operation: those two applications for cybersecurity on power grid mainly explored in this study. For planning, a systematic method is developed to verify the effectiveness of security strategies and for operation, prioritised the security mechanism for auditing and monitoring purpose. As a case study, they analyse the IEEE-14 bus, IEEE-30 bus, and IEEE-118 bus systems, observe the defensive strategies, and calculate substation criticality ranking by using the authors’ proposed method.
K1 contingency rankings
K1 critical cybersecurity mechanisms
K1 IEEE-118 bus systems
K1 security strategies
K1 systematic method
K1 cyber-physical security model
K1 ARCADES
K1 power systems
K1 cyberattack
K1 DEfensive Strategy
K1 case study
K1 cybersecurity defence strategies
K1 improved cybersecurity defensive strategies
K1 power grid
K1 contingency analysis studies
K1 cybersecurity defensive standards
DO https://doi.org/10.1049/iet-cps.2017.0118
UL https://digital-library.theiet.org/;jsessionid=6fo3sdu3p1f4p.x-iet-live-01content/journals/10.1049/iet-cps.2017.0118
LA English
SN
YR 2018
OL EN