{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T16:40:41Z","timestamp":1788280841168,"version":"build-2803163510"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"SK Telecom (SKT) through the 2024 SKT AI Fellowship Program and the collaborative research conducted within the scope of the fellowship"},{"DOI":"10.13039\/501100003661","name":"Korea Institute for Advancement of Technology (KIAT) grant funded by the Korean government (Ministry of Trade, Industry and Energy (MOTIE) of the Republic of Korea) (Human Resource Development","doi-asserted-by":"publisher","award":["RS-2025-02263062"],"award-info":[{"award-number":["RS-2025-02263062"]}],"id":[{"id":"10.13039\/501100003661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3603007","type":"journal-article","created":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T19:22:56Z","timestamp":1756236176000},"page":"152530-152545","source":"Crossref","is-referenced-by-count":8,"title":["Enhanced Voice Phishing Detection Using an LLM-Based Framework for Data Augmentation and Classification"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1084-2601","authenticated-orcid":false,"given":"Hyunghee","family":"Park","sequence":"first","affiliation":[{"name":"Department of Convergence Technology Engineering, Sungshin Women’s University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8947-0230","authenticated-orcid":false,"given":"Jiwon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Convergence Technology Engineering, Sungshin Women’s University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0995-2186","authenticated-orcid":false,"given":"Sanghyun","family":"Han","sequence":"additional","affiliation":[{"name":"SK Telecom, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6215-228X","authenticated-orcid":false,"given":"Haewon","family":"Byun","sequence":"additional","affiliation":[{"name":"School of AI Convergence, Sungshin Women’s University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/access.2022.3191790"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03587-x"},{"key":"ref3","first-page":"768","article-title":"A real-time efficient detection technique of voice phishing with AI","volume-title":"Proc. Korea Comput. Congr. (KCC)","author":"Boussougou"},{"key":"ref4","first-page":"297","article-title":"Korean voice phishing text classification performance analysis using machine learning techniques","volume-title":"Proc. Annu. Conf. Korea Inf. Process. Soc.","author":"Boussougou"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/math11143217"},{"key":"ref6","first-page":"437","article-title":"Exploiting Korean language model to improve Korean voice phishing detection","volume":"11","author":"Boussougou","year":"2022","journal-title":"KIPS Trans. Softw. Data Eng."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3387027"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3720263"},{"key":"ref9","first-page":"343","article-title":"Voice phishing detection improvement by conversation analysis and LLM-based scenario augmentation","volume-title":"Proc. Fall Conf. Korean Soc. Internet Inf.","author":"Park"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3445970.3451152"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s42400-018-0008-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/app142411628"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.55083\/irjeas.2024.v12i02002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/electronics13132535"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.647"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3463400"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.1071"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00540"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/icmla61862.2024.00140"},{"key":"ref20","article-title":"Keeping experts in the loop: Expert-guided optimization for clinical data classification using large language models","author":"Karayanni","year":"2024","journal-title":"arXiv:2412.02173"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.synbio.2024.07.004"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645616"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/EDUCON60312.2024.10578654"},{"key":"ref24","volume-title":"Voice Phishing Exhibition 2023","year":"2023"},{"key":"ref25","first-page":"4816","article-title":"MAUVE: Measuring the gap between neural text and human text using divergence frontiers","volume-title":"Proc. 35th Int. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Pillutla"},{"key":"ref26","article-title":"Standardizing the measurement of text diversity: A tool and a comparative analysis of scores","author":"Shaib","year":"2024","journal-title":"arXiv:2403.00553"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.1936.tb02137.x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref30","volume-title":"Public Service (Call Center) Query-Response Data 2023","year":"2023"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.153"},{"key":"ref32","first-page":"133","article-title":"KoNLPy: Korean natural language processing in Python","volume-title":"Proc. Annu. Conf. Hum. Lang. Technol.","author":"Park"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11142247.pdf?arnumber=11142247","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T17:47:45Z","timestamp":1757353665000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11142247\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3603007","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}