Deterministic Dendritic Cell Algorithm Application to Smart Grid Cyber-Attack Detection

2017 ◽  
Author(s):  
Obinna Igbe ◽  
Ihab Darwish ◽  
Tarek Saadawi
Keyword(s):  
Dendritic Cell ◽  
Smart Grid ◽  
Attack Detection ◽  
Cyber Attack ◽  
Dendritic Cell Algorithm

scholarly journals Cognitive Dynamic System for AC State Estimation and Cyber-Attack Detection in Smart Grid

2020 ◽  
Author(s):  
Mohammad Irshaad Oozeer ◽  
Simon Haykin
Keyword(s):  
Smart Grid ◽  
Dynamic System ◽  
State Estimation ◽  
Attack Detection ◽  
Cyber Attacks ◽  
Data Detection ◽  
Cyber Attack ◽  
Bad Data Detection ◽  
Cycle Basis ◽  
Iterative Procedures

The work presented in this chapter is an extension of our previous research of bringing together the Cognitive Dynamic System (CDS) and the Smart Grid (SG) by focusing on AC state estimation and Cyber-Attack detection. Under the AC power flow model, state estimation is complex and computationally expensive as it relies on iterative procedures. On the other hand, the False Data Injection (FDI) attacks are a new category of cyber-attacks targeting the SG that can bypass the current bad data detection techniques in the SG. Due to the complexity of the nonlinear system involved, the amount of published works on AC based FDI attacks have been fewer compared to their DC counterpart. Here, we will demonstrate how the entropic state, which is the objective function of the CDS, can be used as a metric to monitor the grid’s health and detect FDI attacks. The CDS, acting as the supervisor of the system, improves the entropic state on a cycle to cycle basis by dynamically optimizing the state estimation process through the reconfiguration of the weights of the sensors in the network. In order to showcase performance of this new structure, computer simulations are carried out on the IEEE 14-bus system for optimal state estimation and FDI attack detection.

scholarly journals Cyber Physical Defense Framework for Distributed Smart Grid Applications

2021 ◽  
Vol 8 ◽  
Author(s):  
Ayush Sinha ◽  
Manasi Mohandas ◽  
Pankaj Pandey ◽  
O. P. Vyas
Keyword(s):  
Smart Grid ◽  
Large Scale ◽  
Impact Analysis ◽  
Denial Of Service ◽  
Attack Detection ◽  
Cyber Attack ◽  
Physical Defense ◽  
Proposed Model ◽  
Grid Applications ◽  
Physical Spaces

Cyber-Physical Systems (CPS) is the amalgamation of highly sophisticated sensors with physical spaces. These close conjunctions of sensors with communication infrastructure intrinsically linking to society’s Critical Infrastructures (C.I.) are being witnessed more often in the context of Smart Grid (SG). As a backbone of C.I., Smart Grid demonstrates ability to precisely monitor large scale energy systems and designed in order to achieve complex local and global objectives. Being capable of performing such sophisticated operation it also bears the vulnerability of being exposed for cyber-physical co-ordinated attack that may lead to catastrophic effect. Many researchers have analyze the different stages of cyber-physical co-ordinated attacks like attack detection, prevention, impact analysis and recovery plans but there exist a research gap to address all the issues under single framework. Through this paper, we propose a novel Cyber Physical Defense Framework (CPDF) based on National Institute of Standards and Technology (NIST) guidelines to address the cyber attack on SG. Our work addresses the pre and post attack scenario, attack vector formulation through hierarchical PetriNet modeling and recovery mechanism. We have performed experiment for Distributed Denial of Service (DDoS) and False Data Injection attack (FDI) to validate our framework effectiveness and established the efficacy of proposed model. In the end, we have presented a case study of FDI attack detection using machine learning technique on IEEE 9-bus and 14-bus system.

scholarly journals Extremely Randomized Trees-Based Scheme for Stealthy Cyber-Attack Detection in Smart Grid Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 19921-19933 ◽  
Author(s):  
Mario R. Camana Acosta ◽  
Saeed Ahmed ◽  
Carla E. Garcia ◽  
Insoo Koo
Keyword(s):  
Smart Grid ◽  
Attack Detection ◽  
Cyber Attack ◽  
Grid Networks ◽  
Extremely Randomized Trees
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