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

Description

<p>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.</p> / <p>This PhD thesis proposes a novel method for detection of malicious false data<br />injection attacks on power system. The proposed algorithm is based on<br />synergy between static and dynamic state estimators, and is capable of<br />detecting the forementioned attacks in real time, for the most critical scenarios,<br />where an attacker has complete knowledge about the compromised power<br />system and unlimited resources to stage an attack.</p>

Links & Downloads

1. https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija154044546094264.pdf?controlNumber=(BISIS)108186&fileName=154044546094264.pdf&id=12220&source=NDLTD&language=en
2. https://www.cris.uns.ac.rs/record.jsf?recordId=108186&source=NDLTD&language=en

Tags

Additional Fields

Identifer	oai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)108186
Date	23 January 2019
Creators	Živković Nemanja
Contributors	Sarić Andrija, Strezoski Vladimir, Popović Dragan, Bekut Duško, Strezoski Luka, Ranković Aleksandar
Publisher	Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, University of Novi Sad, Faculty of Technical Sciences at Novi Sad
Source Sets	University of Novi Sad
Language	Serbian
Detected Language	English
Type	PhD thesis