FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3081325334> ?p ?o ?g. }

• W3081325334 endingPage "106658" @default.
• W3081325334 startingPage "106658" @default.
• W3081325334 abstract "Smart grids are a type of complex cyber–physical system (CPS) that integrates the communication capabilities of smart devices into the grid to facilitate remote operation and control of power systems. However, this integration exposes many existing vulnerabilities of conventional supervisory control and data acquisition (SCADA) systems, resulting in severe cyber threats to the smart grid and potential violation of security objectives. Stealing sensitive information, modifying firmware, or injecting function codes through compromised devices are examples of possible attacks on the smart grid. Therefore, early detection of cyberattacks on the grid is crucial to protect it from sabotage. Machine learning (ML) methods are conventional approaches for detecting cyberattacks that use features of smart grid networks. However, developing an effective, highly accurate detection method with reduced computational overload, is still a challenging research problem. In this work, an efficient and effective security control approach is proposed to detect cyberattacks on the smart grid. The proposed approach combines both feature reduction and detection techniques to reduce the extremely large number of features and achieve an improved detection rate. A correlation-based feature selection (CFS) method is used to remove irrelevant features, improving detection efficiency. An instance-based learning (IBL) algorithm classifies normal and cyberattack events using the selected optimal features. This study describes a set of experiments conducted on public datasets from a SCADA power system based on a 10-fold cross-validation technique. Experimental results show that the proposed approach achieves a high detection rate based on a small number of features drawn from SCADA power system measurements." @default.
• W3081325334 created "2020-09-01" @default.
• W3081325334 creator A5017326471 @default.
• W3081325334 creator A5023424929 @default.
• W3081325334 creator A5030022807 @default.
• W3081325334 creator A5043100878 @default.
• W3081325334 creator A5043393776 @default.
• W3081325334 creator A5084403081 @default.
• W3081325334 creator A5085933596 @default.
• W3081325334 date "2020-11-01" @default.
• W3081325334 modified "2023-10-17" @default.
• W3081325334 title "A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids" @default.
• W3081325334 cites W2002254092 @default.
• W3081325334 cites W2021702566 @default.
• W3081325334 cites W2057903920 @default.
• W3081325334 cites W2122111042 @default.
• W3081325334 cites W2161630727 @default.
• W3081325334 cites W2161919332 @default.
• W3081325334 cites W2521705161 @default.
• W3081325334 cites W2616970092 @default.
• W3081325334 cites W2756805466 @default.
• W3081325334 cites W2765739766 @default.
• W3081325334 cites W2782812564 @default.
• W3081325334 cites W2788039060 @default.
• W3081325334 cites W2802074198 @default.
• W3081325334 cites W2810107741 @default.
• W3081325334 cites W2859269968 @default.
• W3081325334 cites W2887195793 @default.
• W3081325334 cites W2887459746 @default.
• W3081325334 cites W2910314742 @default.
• W3081325334 cites W2912043463 @default.
• W3081325334 cites W2913330314 @default.
• W3081325334 cites W2935989576 @default.
• W3081325334 cites W2957431352 @default.
• W3081325334 cites W2958780305 @default.
• W3081325334 cites W2959428502 @default.
• W3081325334 cites W2964289795 @default.
• W3081325334 cites W2979829384 @default.
• W3081325334 cites W2981731882 @default.
• W3081325334 cites W2986055611 @default.
• W3081325334 cites W2998233014 @default.
• W3081325334 cites W2999797109 @default.
• W3081325334 cites W3004036452 @default.
• W3081325334 cites W4244238212 @default.
• W3081325334 cites W958941746 @default.
• W3081325334 doi "https://doi.org/10.1016/j.asoc.2020.106658" @default.
• W3081325334 hasPublicationYear "2020" @default.
• W3081325334 type Work @default.
• W3081325334 sameAs 3081325334 @default.
• W3081325334 citedByCount "35" @default.
• W3081325334 countsByYear W30813253342021 @default.
• W3081325334 countsByYear W30813253342022 @default.
• W3081325334 countsByYear W30813253342023 @default.
• W3081325334 crossrefType "journal-article" @default.
• W3081325334 hasAuthorship W3081325334A5017326471 @default.
• W3081325334 hasAuthorship W3081325334A5023424929 @default.
• W3081325334 hasAuthorship W3081325334A5030022807 @default.
• W3081325334 hasAuthorship W3081325334A5043100878 @default.
• W3081325334 hasAuthorship W3081325334A5043393776 @default.
• W3081325334 hasAuthorship W3081325334A5084403081 @default.
• W3081325334 hasAuthorship W3081325334A5085933596 @default.
• W3081325334 hasConcept C10558101 @default.
• W3081325334 hasConcept C111919701 @default.
• W3081325334 hasConcept C113863187 @default.
• W3081325334 hasConcept C119599485 @default.
• W3081325334 hasConcept C120314980 @default.
• W3081325334 hasConcept C121332964 @default.
• W3081325334 hasConcept C124101348 @default.
• W3081325334 hasConcept C127413603 @default.
• W3081325334 hasConcept C149635348 @default.
• W3081325334 hasConcept C163258240 @default.
• W3081325334 hasConcept C179768478 @default.
• W3081325334 hasConcept C187691185 @default.
• W3081325334 hasConcept C2524010 @default.
• W3081325334 hasConcept C33923547 @default.
• W3081325334 hasConcept C41008148 @default.
• W3081325334 hasConcept C62520636 @default.
• W3081325334 hasConcept C67212190 @default.
• W3081325334 hasConcept C79403827 @default.
• W3081325334 hasConcept C89227174 @default.
• W3081325334 hasConcept C9390403 @default.
• W3081325334 hasConceptScore W3081325334C10558101 @default.
• W3081325334 hasConceptScore W3081325334C111919701 @default.
• W3081325334 hasConceptScore W3081325334C113863187 @default.
• W3081325334 hasConceptScore W3081325334C119599485 @default.
• W3081325334 hasConceptScore W3081325334C120314980 @default.
• W3081325334 hasConceptScore W3081325334C121332964 @default.
• W3081325334 hasConceptScore W3081325334C124101348 @default.
• W3081325334 hasConceptScore W3081325334C127413603 @default.
• W3081325334 hasConceptScore W3081325334C149635348 @default.
• W3081325334 hasConceptScore W3081325334C163258240 @default.
• W3081325334 hasConceptScore W3081325334C179768478 @default.
• W3081325334 hasConceptScore W3081325334C187691185 @default.
• W3081325334 hasConceptScore W3081325334C2524010 @default.
• W3081325334 hasConceptScore W3081325334C33923547 @default.
• W3081325334 hasConceptScore W3081325334C41008148 @default.
• W3081325334 hasConceptScore W3081325334C62520636 @default.
• W3081325334 hasConceptScore W3081325334C67212190 @default.

• next