• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.510-518
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• 2023

Purpose: This study compares and analyzes the characteristics and progress of existing voice phishing and new voice phishing to present a basic policy plan to prepare countermeasures against new voice phishing based on psychological descriptions. Method: The criminal progress and characteristics of the two were compared and analyzed through damage cases on various portal sites centered on voice phishing crime scenarios. Result: As a result of analyzing the progress of the third stage of new voice phishing, the scenario of new voice phishing that can deceive victims was written more carefully and the scope of the crime was expanded. In the crime execution stage, the victim was socially isolated, reducing the victim's judgment ability, making it more difficult for investigative agencies to investigate, and in the final stage, the continuity and expansion of criminal damage such as extortion of money and valuables are shown. Conclusion: There were differences in the target and scope of the crime and the method of the crime strategy between the two, and the possibility of damage is much greater, so a more efficient response strategy should be prepared.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.193-198
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• 2018

In Korea, the penetration rate of Internet, telephone and smart devices is reaching the highest level in the world. Cyber financial crimes that exploit such infrastructures continue to evolve. Since the first Voice Phishing crime in May 2006, ten years later, there has been a constant occurrence of Voice Phishing crime. Voice Phishing is a crime in which a victim is phoned for false information to figure out the victim's account number and password. This method of Voice Phishing evolves day by day, and it is difficult to investigate. Most of Voice Phishing is a form of international organized crime that is based in Southeast Asia such as China, and it is not easy to eradicate by international cooperation investigation. The purpose of this study is to investigate the actual situation and case analysis of Voice Phishing crime, and to propose the countermeasures against police Voice Phishing counterplan.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.157-160
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• 2012

(Voice)Phishing against the old or weak person used the method which is social engineering in the object and financial structure and function. Until recently (voice)Phishing from Chaina caused economic devastation and the economic loss by Phishing grows with the South Korean whole. Korean government and organizations involved have been strengthening protection system and a financial security device. But it is not easy to verify how much effects of security measures are. In this paper we will study the economic loss caused by (voice)Phishing and economic efficiency of security measures and security device reinforcement of the Republic of Korea.

• Convergence Security Journal
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• v.22 no.3
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• pp.79-86
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• 2022

Voice phishing is a cyber crime in which fake financial institutions, the Public Prosecutor's Office, and the National Police Agency are impersonated to find out an individual's Certification number and credit card number or withdraw a deposit. Recently, voice phishing has been carried out in a subtle and secret way. Analyzing the trend of voice phishing that occurred in '18~'21, it was found that there is a seasonality that occurs rapidly at a time when the movement of money is intensifying in the trend of voice phishing, giving ambiguity to time series analysis. In this research, we adjusted seasonality using the X-12 seasonality adjustment methodology for accurate prediction of voice phishing occurrence trends, and predicted the occurrence of voice phishing in 2022 using the ARIMA model.

• Korean Security Journal
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• no.62
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• pp.185-203
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• 2020

While overall crime has been on the decline since 2009, voice phishing has rather been on the rise. The government and academia have presented various measures and conducted research to eradicate it, but it is not enough to catch up with evolving voice phishing. In the study, researchers focused on catching criminals and preventing damage from voice phishing, which is difficult to recover from. In particular, a voice phishing prediction method using the Fraud Detection System (FDS), which is being used to detect financial fraud, was studied based on the fact that the victim engaged in financial transaction activities (such as account transfers). As a result, it was conceptually derived to combine big data such as call details, messenger details, abnormal accounts, voice phishing type and 112 report related to voice phishing in machine learning-based Fraud Detection System(FDS). In this study, the research focused mainly on government measures and literature research on the use of big data. However, limitations in data collection and security concerns in FDS have not provided a specific model. However, it is meaningful that the concept of voice phishing responses that converge FDS with the types of data needed for machine learning was presented for the first time in the absence of prior research. Based on this research, it is hoped that 'Voice Phishing Damage Prediction System' will be developed to prevent damage from voice phishing.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.11
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• pp.2341-2346
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• 2012

Voice phishing against the old or weak persons have used the methods which are social engineering in the object and financial structure and function. Until recently Voice phishing from Chaina caused economic devastation and the economic loss by phishing grows with the South Koreans in the whole. Korean government and public organizations involved have been strengthening protection system and a financial security devices. But it is not easy to verify how much effects of security measures are. In this paper I will study the economic loss caused by voice phishing and potential economic effects of security measures and security device reinforcements of the Republic of Korea. Direct costs are reported about 100 million dollars and potential economic effects of voice phinshing secure measures may be around 320 million dollars.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.4
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• pp.92-99
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• 2008

We propose an effective voice-pishing detection algorithm based on the 3GPP2 selectable mode vocoder (SMV). The detection of voice pishing is performed based on a Gaussian mixture model (GMM) using decoding parameters of the SMV directly extracted from the decoding process of the transmitted speech information in the mobile phone. The experimental results indicate that SMV decoding parameters are effective in discriminating between general voice and phisher's voice and the performance is significantly acceptable when the proposed technique is applied.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.647-648
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• 2009

'보이스피싱(Voice Phishing)'은 전화를 통해 자신을 신뢰할 수 있는 대상으로 위장하여 개인 정보를 훔치는 행위이다. 최근 들어 보이스피싱 피해 사례가 급증하고 있으며 아직 딱히 대안이 없는 상태이다. 또한, IP 환경에서의 전화통화는 보이스피싱을 더욱 용이하게 하고 있다. 본 논문에서는 VoIP 환경에서 공개키 암호화 기법을 이용하여 발신자의 신원을 정확히 밝히는 인증을 통해 사용자가 악성 발신자에게 정보를 제공하거나 금전적 피해를 피할 수 있는 방법론을 제시한다. 이를 통해 사용자는 발신자의 정확한 신원 정보를 제공 받아 보이스피싱 당할 가능성을 줄일 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1013-1015
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• 2022

본 논문은 보이스피싱에 취약한 VoIP와 일반 유선전화 상의 보안을 위해 유선전화의 대화내용을 Google STT API 및 텍스트 자연어 처리를 통해 실시간으로 보이스피싱 위험도를 알 수 있는 모델을 제안했다. 보이스피싱 데이터를 Data Augmentation와 BERT 모델을 활용해 보이스피싱을 예방하는 솔루션을 구상했다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.947-948
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• 2023

본 논문은 보이스피싱 취약 계층을 위해 통화 내용을 신속하게 처리하여 실시간으로 범죄 여부를 판별하는 VoIP 에 특화된 시스템을 제안하였다. 실제 보이스 피싱 통화 유형을 학습한 탐지 모델을 개발하여 API 로 배포하였다. 또한 보이스피싱 위험도가 일정 수준에 도달할 경우 사용자에게 보이스피싱 가능성을 경고하는 장치를 제작하였다. 본 연구는 보이스피싱을 사전에 탐지함으로써 개인정보의 유출 및 금융 피해를 예방하고 정보 보안을 실천하는 데 기여할 것으로 기대된다.