| Title | A Hybrid Attack Model for Cyber-Physical Security Assessment in Electricity Grid |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Chen, Yu-Cheng, Gieseking, Tim, Campbell, Dustin, Mooney, Vincent, Grijalva, Santiago |
| Conference Name | 2019 IEEE Texas Power and Energy Conference (TPEC) |
| Keywords | attack graph, attack propagation, bad data injection, bad data injection attack, Chained Attacks, Cyber-physical security assessment, Cyber-physical systems, Data models, Dynamic Defender model, electricity grid, execution stage, execution stages, Games, HAM, hybrid attack model, learning (artificial intelligence), Markov chain, Markov Chain model, Markov processes, Mathematical model, PLADD, Planning, power engineering computing, power grid, power grids, power system security, preparation stage, Probabilistic Learning Attacker, pubcrawl, Resiliency, Scalability, security, security of data, smart power grids, Substations |
| Abstract | A detailed model of an attack on the power grid involves both a preparation stage as well as an execution stage of the attack. This paper introduces a novel Hybrid Attack Model (HAM) that combines Probabilistic Learning Attacker, Dynamic Defender (PLADD) model and a Markov Chain model to simulate the planning and execution stages of a bad data injection attack in power grid. We discuss the advantages and limitations of the prior work models and of our proposed Hybrid Attack Model and show that HAM is more effective compared to individual PLADD or Markov Chain models. |
| DOI | 10.1109/TPEC.2019.8662138 |
| Citation Key | chen_hybrid_2019 |
A Hybrid Attack Model for Cyber-Physical Security Assessment in Electricity Grid