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DC Field | Value | Language |
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dc.contributor.author | 이택균 | - |
dc.date.issued | 2023-12 | - |
dc.identifier.issn | 1738-6667 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/35905 | - |
dc.description.abstract | In this study, we tried to identify research trends on artificial intelligence security focusing on the United States, United Kingdom, and South Korea. In Elsevier's Scopus We collected 4,983 papers related to artificial intelligence security published from 2018 to 2022 and by using the abstracts of the collected papers, Keyword frequency and centrality analysis were conducted. By calculating keyword frequency, keywords with high frequency of appearance were identified and through the centrality analysis, central research keywords were identified by country. Through the analysis results, research related to artificial intelligence, machine learning, Internet of Things, and cybersecurity in each country was conducted as the most central and highly mediating research. The implication for Korea is that research related to cybersecurity, privacy, and anomaly detection has lower centralities compared to the United States and research related to big data has lower centralities compared to United Kingdom. Therefore, various researches that intensively apply artificial intelligence technology to these fields are needed. | - |
dc.language.iso | Kor | - |
dc.publisher | (사)디지털산업정보학회 | - |
dc.title | 키워드 빈도와 중심성 분석을 이용한 인공지능 보안 연구 동향 : 미국·영국·한국을 중심으로 | - |
dc.title.alternative | Research Trend on AI Security Using Keyword Frequency and Centrality Analysis : Focusing on the United States, United Kingdom, South Korea | - |
dc.type | Article | - |
dc.citation.endPage | 27 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 13 | - |
dc.citation.title | (사)디지털산업정보학회 논문지 | - |
dc.citation.volume | 19 | - |
dc.identifier.bibliographicCitation | (사)디지털산업정보학회 논문지, Vol.19 No.4, pp.13-27 | - |
dc.subject.keyword | Artificial Intelligence | - |
dc.subject.keyword | Security | - |
dc.subject.keyword | Centrality | - |
dc.subject.keyword | Frequency | - |
dc.type.other | Article | - |
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