False Data Injection Attacks on CSA-Based State Estimation in Smart Grid

Basit Öğe Kaydı
dc.authorscopusid57818691400
dc.authorscopusid35103037800
dc.authorscopusid8307948200
dc.contributor.authorAndiç, Cenk
dc.contributor.authorÖztürk, Ali
dc.contributor.authorTürkay, Belgin
dc.date.accessioned2023-07-26T11:57:35Z
dc.date.available2023-07-26T11:57:35Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionBatman University and Batman Energy Coordination Center (EKOM)en_US
dc.description2022 IEEE Global Energy Conference, GEC 2022 -- 26 October 2022 through 29 October 2022 -- 185674en_US
dc.description.abstractMeasurement devices are placed on the network in order to monitor and operate smart grids. The state of the system is estimated using the network model of the system and the measurement data set obtained from the measuring devices. However, with a cyber-attack, attackers False Data Injection (FDI) attack into the measurement data set. Therefore, the state estimation results of the system are not reliable. In this study, the state of the system is estimated by using the Crow Search Algorithm (CSA), which is one of the heuristic methods. And this study presents the effect of the FDI attack on the CSA-based state estimator to determine the optimal estimate for the system state. The attacker's FDI attack is tested as two different scenarios on the IEEE-9 bus test system. Firstly, it is assumed that the attacker performed an unstructured FDI attack, which has a simple structure. Secondly, it is assumed that the attacker performed a well-structured FDI attack. The Chi-square test method is used to determine whether false data is injected into the measurement data set. The results obtained by CSA-based state estimator show that an unstructured FDI attack can be detected as bad data, while a well-structured FDI attack cannot be detected. However, in both cases, the accuracy of the state estimation results decreases and it affects the analysis, operation and planning of the system. © 2022 IEEE.en_US
dc.identifier.doi10.1109/GEC55014.2022.9986658
dc.identifier.endpage257en_US
dc.identifier.isbn9.78167E+12
dc.identifier.scopus2-s2.0-85146490251en_US
dc.identifier.startpage253en_US
dc.identifier.urihttps://doi.org/10.1109/GEC55014.2022.9986658
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13237
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖztürk, Ali
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Global Energy Conference, GEC 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectcrow search algorithmen_US
dc.subjectcyber-attacken_US
dc.subjectfalse data injectionen_US
dc.subjectstate estimationen_US
dc.subjectComputer crimeen_US
dc.subjectCrimeen_US
dc.subjectCyber attacksen_US
dc.subjectLearning algorithmsen_US
dc.subjectNetwork securityen_US
dc.subjectSmart power gridsen_US
dc.subjectState estimationen_US
dc.subjectStatistical testsen_US
dc.subjectCrow search algorithmen_US
dc.subjectCyber-attacksen_US
dc.subjectEstimation resultsen_US
dc.subjectFalse data injectionen_US
dc.subjectFalse data injection attacksen_US
dc.subjectMeasurement data setsen_US
dc.subjectMeasurement deviceen_US
dc.subjectSearch Algorithmsen_US
dc.subjectSmart griden_US
dc.subjectState Estimatorsen_US
dc.subjectHeuristic methodsen_US
dc.titleFalse Data Injection Attacks on CSA-Based State Estimation in Smart Griden_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
13237.pdf
Boyut:
527.52 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu