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Detekcija malicioznih napada na elektroenergetski sistem korišćenjem sinergije statičkog i dinamičkog estimatora stanja

Detection of False Data Injection Attacks on Power System using a synergybased approach between static and dynamic state estimators

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2019
Disertacija19377.pdf (2.703Mb)
IzvestajKomisije19377.pdf (215.0Kb)
Author
Živković, Nemanja
Mentor
Sarić, Andrija
Committee members
Strezoski, Vladimir
Popović, Dragan
Bekut, Duško
Strezoski, Luka
Ranković, Aleksandar
Sarić, Andrija
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Abstract
U ovoj doktorskoj disertaciji predložena je nova metoda za detekciju malicioznih napada injektiranjem loših merenja na elektroenergetski sistem. Predloženi algoritam baziran je na sinergiji statičke i dinamičke estimacije stanja, i u stanju je da detektuje ovaj tip napada u realnom vremenu, za najkritičniji scenario gde napadač ima potpuno znanje o sistemu, i neograničen pristup resursima.
This PhD thesis proposes a novel method for detection of malicious false data injection attacks on power system. The proposed algorithm is based on synergy between static and dynamic state estimators, and is capable of detecting the forementioned attacks in real time, for the most critical scenarios, where an attacker has complete knowledge about the compromised power system and unlimited resources to stage an attack.
Faculty:
University of Novi Sad, Faculty of Technical Science
Date:
23-01-2019
Keywords:
Estimacija stanja / State Estimation / Detekcija loših merenja / Maliciozni napad injektiranjem loših merenja / Unscented Kalman filter / Bad Data Detection / False Data Injection Attack / Unscented Kalman Filter
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URI
http://nardus.mpn.gov.rs/handle/123456789/10761
https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija154044546094264.pdf?controlNumber=(BISIS)108186&fileName=154044546094264.pdf&id=12220&source=NaRDuS&language=sr
https://www.cris.uns.ac.rs/record.jsf?recordId=108186&source=NaRDuS&language=sr
https://www.cris.uns.ac.rs/DownloadFileServlet/IzvestajKomisije154044547665148.pdf?controlNumber=(BISIS)108186&fileName=154044547665148.pdf&id=12221&source=NaRDuS&language=sr

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