보이스피싱 심리조작 수법과 소비자 보호 방안: 텍스트 마이닝 기법을 중심으로
Voice Phishing Scammers’ Psychological Manipulationand Consumer Protection Measures
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초록
정부 및 관련 기관에서 보이스피싱을 예방하기 위한 다양한 대책을 마련하고 있음에도 불구하고, 보이스피싱 피해가 계속해서 발생하고 있다. 본 연구는 텍스트 마이닝 기법을 활용하여 보이스피싱 사기범과 잠재 피해자의 실제 대화 448건을 분석하였다. 분석 결과, 보이스피싱 사기범은 지금, 이제, 진행, 오늘, 먼저 등의 한정된 기간을 강조하는 단어를 자주 사용하는 것으로 나타났다. 이것은 사기범들이 특정 단어를 통해 상대방이 합리적인 판단을 하지 못하도록 피해자의 심리를 조작한다는 것을 말해준다. 본 연구의 결과는 정부 및 유관 기관이 효과적인 보이스피싱 예방 및 소비자 보호 정책을 수립하는 데 도움이 된다.
Abstract
Despite various measures being implemented by the government and related institutions to prevent voice phishing, incidents of such fraud continue to occur. This study analyzed 448 actual conversations between voice phishing scammers and potential victims using text mining techniques. The text analysis reveals that voice phishing scammers frequently use words emphasizing limited time frames such as now, soon, in progress, today, first. This indicates that scammers manipulate the victim's psychology through specific words, preventing them from making rational decisions. The results of this study can aid government and related institutions in formulating effective policies for preventing voice phishing and protecting consumers.
참고문헌 (19)
- "Status of voice phishing" (2024)[URL]
- "Status of voice phishing victims by types" (2024)[URL]
- Seong Eon Kim, "The evolution of tele-financial fraud : an analysis of offender victim interaction structures and respondence to 'voice phishing'", Korean Journal of Public Safety and Criminal Justice, 17(3), pp.101~149 (2008)
- Dong Im Lee, "Recovery of revival from damage caused by voice phishing crime", Korean Journal of Victimology, 18(2), pp.263~284 (2010)
- Ho-Dae Cho, "Voice phishing occurrence and counterplan", The Journal of the Korea Contents Association, 12(7), pp.176~182 (2012)
- Bum Joo Lee, "Identification of voice features for recently voice fishing by voice analysis", The Journal of Korean Institute of Communications and Information Sciences, 41(10), pp.1276~1283 (2016)
- Seon Hui Do, "A study on the phonetics of voice phishing", Criminal Investigation Studies, 4(1), pp.67~90 (2018)
- Jung-Hoon Kim, "A scheme of social engineering attacks and countermeasures using big data based conversion voice phishing", Journal of the Korea Convergence Society, 6(1), pp.85~91 (2015)
- Kwang Ho Jang, "Research of investigation technology to create a network using unstructured data: focusing on voice phishing response support", The Journal of Police Science, 20(2), pp.93~117 (2020)
- Seung-Joon Yang, "A topic modeling approach to the analysis of happiness and unhappiness", Knowledge Management Research, 17(2), pp.165~185 (2016)
- S. Robertson, "Understanding inverse document frequency: on theoretical arguments for IDF", Journal of Documentation, 60(5), pp.503~520 (2004)
- T.K. Landauer, "Handbook of latent semantic analysis" (2007), Psychology Press
- D.M. Blei, "Latent dirichlet allocation", Journal of Machine Learning Research, 3, pp.993~1022 (2003)
- D.M. Blei, "Text mining", pp.2009, Chapman and Hall
- Yuyoung Kim, "A study on analyzing sentiments on movie reviews by multi-level sentiment classifier", Journal of Intelligence and Information Systems, 22(3), pp.71~89 (2016)
- J.J. Inman, "Framing the deal : the role of restrictions in accentuating deal value", Journal of Consumer Research, 24(1), pp.68~79 (1997)
- Minjung Kim, "The types of the financial fraud and characteristics of victims focused on the middle-aged and elderly consumers", Journal of Consumer Policy Studies, 45(2), pp.23~46 (2014)
- Minjung Kim, "Analysis of voice phishing damage experiences and influencing factors", Journal of Consumer Policy Studies, 52(1), pp.52~71 (2021)
- Jihoon Yang, "Development and utilization of voice phishing prevention service through KoBERTbased voice call analysis", KIISE Transactions on Computing Practices, 29(5), pp.205~213 (2023)