Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204011231> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W3204011231 endingPage "2501" @default.
- W3204011231 startingPage "2496" @default.
- W3204011231 abstract "Smart grids face more cyber threats than before with the integration of photovoltaic (PV) systems. Data-driven-based machine learning (ML) methods have been verified to be effective in detecting attacks in power electronics devices. However, standard ML solution requires centralized data collection and processing, which is becoming infeasible in more and more applications due to efficiency issues and increasing data privacy concerns. In this letter, we propose a novel decentralized ML framework for detecting false data injection (FDI) attacks on solar PV dc/dc and dc/ac converters. The proposed paradigm incorporates the emerging technology named federated learning (FL) that enables collaboratively training across devices without sharing raw data. To the best of our knowledge, this work is the first application of FL for power electronics in the literature. Extensive experimental results demonstrate that our approach can provide efficient FDI attack detection for PV systems and is aligned with the trend of critical data privacy regulations." @default.
- W3204011231 created "2021-10-11" @default.
- W3204011231 creator A5005952555 @default.
- W3204011231 creator A5020746135 @default.
- W3204011231 creator A5024397951 @default.
- W3204011231 creator A5042169974 @default.
- W3204011231 date "2022-03-01" @default.
- W3204011231 modified "2023-10-16" @default.
- W3204011231 title "A Federated Learning Framework for Detecting False Data Injection Attacks in Solar Farms" @default.
- W3204011231 cites W2002254092 @default.
- W3204011231 cites W2038651258 @default.
- W3204011231 cites W2093197140 @default.
- W3204011231 cites W2550453031 @default.
- W3204011231 cites W2740120135 @default.
- W3204011231 cites W2776530550 @default.
- W3204011231 cites W2797025128 @default.
- W3204011231 cites W2890415503 @default.
- W3204011231 cites W2902415071 @default.
- W3204011231 cites W2997542827 @default.
- W3204011231 cites W3033928040 @default.
- W3204011231 cites W3055578719 @default.
- W3204011231 cites W3082551002 @default.
- W3204011231 cites W3108451586 @default.
- W3204011231 cites W3157680283 @default.
- W3204011231 cites W3186788521 @default.
- W3204011231 doi "https://doi.org/10.1109/tpel.2021.3114671" @default.
- W3204011231 hasPublicationYear "2022" @default.
- W3204011231 type Work @default.
- W3204011231 sameAs 3204011231 @default.
- W3204011231 citedByCount "21" @default.
- W3204011231 countsByYear W32040112312022 @default.
- W3204011231 countsByYear W32040112312023 @default.
- W3204011231 crossrefType "journal-article" @default.
- W3204011231 hasAuthorship W3204011231A5005952555 @default.
- W3204011231 hasAuthorship W3204011231A5020746135 @default.
- W3204011231 hasAuthorship W3204011231A5024397951 @default.
- W3204011231 hasAuthorship W3204011231A5042169974 @default.
- W3204011231 hasConcept C119599485 @default.
- W3204011231 hasConcept C127413603 @default.
- W3204011231 hasConcept C132964779 @default.
- W3204011231 hasConcept C138331895 @default.
- W3204011231 hasConcept C142724271 @default.
- W3204011231 hasConcept C165801399 @default.
- W3204011231 hasConcept C178911571 @default.
- W3204011231 hasConcept C199360897 @default.
- W3204011231 hasConcept C204787440 @default.
- W3204011231 hasConcept C2778422915 @default.
- W3204011231 hasConcept C2779965156 @default.
- W3204011231 hasConcept C41008148 @default.
- W3204011231 hasConcept C41291067 @default.
- W3204011231 hasConcept C71924100 @default.
- W3204011231 hasConceptScore W3204011231C119599485 @default.
- W3204011231 hasConceptScore W3204011231C127413603 @default.
- W3204011231 hasConceptScore W3204011231C132964779 @default.
- W3204011231 hasConceptScore W3204011231C138331895 @default.
- W3204011231 hasConceptScore W3204011231C142724271 @default.
- W3204011231 hasConceptScore W3204011231C165801399 @default.
- W3204011231 hasConceptScore W3204011231C178911571 @default.
- W3204011231 hasConceptScore W3204011231C199360897 @default.
- W3204011231 hasConceptScore W3204011231C204787440 @default.
- W3204011231 hasConceptScore W3204011231C2778422915 @default.
- W3204011231 hasConceptScore W3204011231C2779965156 @default.
- W3204011231 hasConceptScore W3204011231C41008148 @default.
- W3204011231 hasConceptScore W3204011231C41291067 @default.
- W3204011231 hasConceptScore W3204011231C71924100 @default.
- W3204011231 hasFunder F4320321001 @default.
- W3204011231 hasIssue "3" @default.
- W3204011231 hasLocation W32040112311 @default.
- W3204011231 hasOpenAccess W3204011231 @default.
- W3204011231 hasPrimaryLocation W32040112311 @default.
- W3204011231 hasRelatedWork W1662487084 @default.
- W3204011231 hasRelatedWork W1985227211 @default.
- W3204011231 hasRelatedWork W2001000585 @default.
- W3204011231 hasRelatedWork W2022552225 @default.
- W3204011231 hasRelatedWork W2033648216 @default.
- W3204011231 hasRelatedWork W2102122489 @default.
- W3204011231 hasRelatedWork W2168661518 @default.
- W3204011231 hasRelatedWork W2367315857 @default.
- W3204011231 hasRelatedWork W2567803707 @default.
- W3204011231 hasRelatedWork W33385384 @default.
- W3204011231 hasVolume "37" @default.
- W3204011231 isParatext "false" @default.
- W3204011231 isRetracted "false" @default.
- W3204011231 magId "3204011231" @default.
- W3204011231 workType "article" @default.