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http://dx.doi.org/10.33778/kcsa.2022.22.3.079

Forecasting the Occurrence of Voice Phishing using the ARIMA Model  

Jung-Ho Choo (대전대학교 안보군사연구원)
Yong-Hwi Joo (대전대학교 안보군사연구원)
Jung-Ho Eom (대전대학교 군사학과&안보융합학과)
Publication Information
Convergence Security Journal / v.22, no.3, 2022 , pp. 79-86 More about this Journal
Abstract
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.
Keywords
Voice Phishing; Information Security; X-12-ARIMA; Time Series Analysis; Forecast;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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