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dc.contributor.authorYavuz, Levent
dc.contributor.authorSoran, Ahmet
dc.contributor.authorOnen, Ahmet
dc.contributor.authorMuyeen, S. M.
dc.date.accessioned2022-02-27T09:18:45Z
dc.date.available2022-02-27T09:18:45Z
dc.date.issued2021en_US
dc.identifier.issn2296-598X
dc.identifier.urihttps //doi.org/10.3389/fenrg.2021.649460
dc.identifier.urihttps://hdl.handle.net/20.500.12573/1188
dc.description.abstractPower system cybersecurity has recently become important due to cyber-attacks. Due to advanced computer science and machine learning (ML) applications being used by malicious attackers, cybersecurity is becoming crucial to creating sustainable, reliable, efficient, and well-protected cyber-systems. Power system operators are needed to develop sophisticated detection mechanisms. In this study, a novel machine-learning-based detection algorithm that combines the five most popular ML algorithms with Particle Swarm Optimizer (PSO) is developed and tested by using an intelligent hacking algorithm that is specially developed to measure the effectiveness of this study. The hacking algorithm provides three different types of injections: random, continuous random, and slow injections by adaptive manner. This would make detection harder. Results shows that recall values with the proposed algorithm for each different type of attack have been increased.en_US
dc.language.isoengen_US
dc.publisherFRONTIERS MEDIA SAAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLANDen_US
dc.relation.isversionof10.3389/fenrg.2021.649460en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectbad data detectionen_US
dc.subjecthacking mechanismen_US
dc.subjectk-nearest neighboren_US
dc.subjectlinear discriminant analysisen_US
dc.subjectlogistic regressionen_US
dc.subjectmachine learningen_US
dc.subjectsupport vector machineen_US
dc.titlePSO Supported Ensemble Algorithm for Bad Data Detection Against Intelligent Hacking Algorithmen_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümüen_US
dc.contributor.institutionauthorYavuz, Levent
dc.contributor.institutionauthorSoran, Ahmet
dc.contributor.institutionauthorOnen, Ahmet
dc.identifier.volumeVolume 9en_US
dc.relation.journalFRONTIERS IN ENERGY RESEARCHen_US
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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