Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108942
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dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.contributorResearch Institute for Smart Energyen_US
dc.creatorRuan, J-
dc.creatorLiang, G-
dc.creatorZhao, H-
dc.creatorLiu, G-
dc.creatorSun, X-
dc.creatorQiu, J-
dc.creatorXu, Z-
dc.creatorWen, F-
dc.creatorDong, ZY-
dc.date.accessioned2024-09-11T03:20:39Z-
dc.date.available2024-09-11T03:20:39Z-
dc.identifier.issn1949-3053en_US
dc.identifier.urihttp://hdl.handle.net/10397/108942-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication J. Ruan et al., "Applying Large Language Models to Power Systems: Potential Security Threats," in IEEE Transactions on Smart Grid, vol. 15, no. 3, pp. 3333-3336, May 2024 is available at https://doi.org/10.1109/TSG.2024.3373256.en_US
dc.subjectLarge language modelsen_US
dc.subjectPower systemsen_US
dc.subjectSecurity threatsen_US
dc.titleApplying large language models to power systems: potential security threatsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage3333en_US
dc.identifier.epage3336en_US
dc.identifier.volume15en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1109/TSG.2024.3373256en_US
dcterms.abstractApplying large language models (LLMs) to modern power systems presents a promising avenue for enhancing decision-making and operational efficiency. However, this action may also incur potential security threats, which have not been fully recognized so far. To this end, this article analyzes potential threats incurred by applying LLMs to power systems, emphasizing the need for urgent research and development of countermeasures.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on smart grid, May 2024, v. 15, no. 3, p. 3333-3336en_US
dcterms.isPartOfIEEE transactions on smart griden_US
dcterms.issued2024-05-
dc.identifier.scopus2-s2.0-85187365506-
dc.identifier.eissn1949-3061en_US
dc.description.validate202409 bcwhen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera3195-
dc.identifier.SubFormID49768-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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