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Cybersecurity Issues in Generative AI
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dc.contributor.authorOh, Subin-
dc.contributor.authorShon, Taeshik-
dc.date.issued2023-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36976-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85175402427&origin=inward-
dc.description.abstractGenerative AI technology is being applied in various fields. However, the advancement of these technologies also raises cybersecurity issues. In fact, there are cases of cyber attack using Generative AI, and the number is increasing. Therefore, this paper analyzes the potential cybersecurity issues associated with Generative AI. First, we looked at the fields where Generative AI is used. Representatively, Generative AI is being used in text, image, video, audio, and code. Based on these five fields, cybersecurity issues that may occur in each field were analyzed. Finally, we discuss the obligations necessary for the future development and use of Generative AI.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshAI Technologies-
dc.subject.meshCyber security-
dc.subject.meshCyber-attacks-
dc.subject.meshGenerative AI-
dc.subject.meshGenerative model-
dc.subject.meshPaper analysis-
dc.subject.meshText images-
dc.subject.meshVideo codes-
dc.titleCybersecurity Issues in Generative AI-
dc.typeConference-
dc.citation.conferenceDate2023.8.16. ~ 2023.8.18.-
dc.citation.conferenceName9th International Conference on Platform Technology and Service, PlatCon 2023-
dc.citation.edition2023 International Conference on Platform Technology and Service, PlatCon 2023 - Proceedings-
dc.citation.endPage100-
dc.citation.startPage97-
dc.citation.title2023 International Conference on Platform Technology and Service, PlatCon 2023 - Proceedings-
dc.identifier.bibliographicCitation2023 International Conference on Platform Technology and Service, PlatCon 2023 - Proceedings, pp.97-100-
dc.identifier.doi10.1109/platcon60102.2023.10255179-
dc.identifier.scopusid2-s2.0-85175402427-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10255091-
dc.subject.keywordCybersecurity-
dc.subject.keywordGenerative AI-
dc.subject.keywordGenerative Models-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaArtificial Intelligence-
dc.subject.subareaComputer Networks and Communications-
dc.subject.subareaComputer Science Applications-
dc.subject.subareaInformation Systems and Management-
dc.subject.subareaSafety, Risk, Reliability and Quality-
dc.subject.subareaMedia Technology-
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SHON, TAE SHIK손태식
Department of Cyber Security
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