Cyber Physical Defense Framework for Distributed Smart Grid Applications
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...
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doaj-3dc718a4f3b54870bb3b6b45266a1f5f2021-02-15T11:45:21ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2021-02-01810.3389/fenrg.2020.621650621650Cyber Physical Defense Framework for Distributed Smart Grid ApplicationsAyush Sinha0Manasi Mohandas1Pankaj Pandey2O. P. Vyas3Indian Institute of Information Technology, Allahabad, Prayagraj, IndiaIndian Institute of Information Technology, Allahabad, Allahabad, IndiaNorwegian University of Science and Technology, Gjøvik, NorwayIndian Institute of Information Technology, Allahabad, Allahabad, IndiaCyber-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.https://www.frontiersin.org/articles/10.3389/fenrg.2020.621650/fullcyber-physical securitysmart grid architecture modelNIST–National Institute of Standards and Technologyattack vector formulationrisk assesmentDDoS atacks |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ayush Sinha Manasi Mohandas Pankaj Pandey O. P. Vyas |
spellingShingle |
Ayush Sinha Manasi Mohandas Pankaj Pandey O. P. Vyas Cyber Physical Defense Framework for Distributed Smart Grid Applications Frontiers in Energy Research cyber-physical security smart grid architecture model NIST–National Institute of Standards and Technology attack vector formulation risk assesment DDoS atacks |
author_facet |
Ayush Sinha Manasi Mohandas Pankaj Pandey O. P. Vyas |
author_sort |
Ayush Sinha |
title |
Cyber Physical Defense Framework for Distributed Smart Grid Applications |
title_short |
Cyber Physical Defense Framework for Distributed Smart Grid Applications |
title_full |
Cyber Physical Defense Framework for Distributed Smart Grid Applications |
title_fullStr |
Cyber Physical Defense Framework for Distributed Smart Grid Applications |
title_full_unstemmed |
Cyber Physical Defense Framework for Distributed Smart Grid Applications |
title_sort |
cyber physical defense framework for distributed smart grid applications |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Energy Research |
issn |
2296-598X |
publishDate |
2021-02-01 |
description |
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. |
topic |
cyber-physical security smart grid architecture model NIST–National Institute of Standards and Technology attack vector formulation risk assesment DDoS atacks |
url |
https://www.frontiersin.org/articles/10.3389/fenrg.2020.621650/full |
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