Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2019.10a
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- Pages.156-159
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- 2019
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
iCaMs: An Intelligent System for Anti Call Phishing and Message Scams
iCaMs: 안티 콜 피싱 및 메시지 사기를 위한 지능형 시스템
- Tran, Manh-Hung (Dept. of Electrical and Computer Engineering, Sungkyunkwan University) ;
- Yang, Hui-Gyu (Dept. of Electrical and Computer Engineering, Sungkyunkwan University) ;
- Dang, Thien-Binh (Dept. of Electrical and Computer Engineering, Sungkyunkwan University) ;
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Choo, Hyun-Seung
(Dept. of Electrical and Computer Engineering, Sungkyunkwan University)
- Published : 2019.10.30
Abstract
The damage from voice phishing reaches one trillion won in the past 5 years following report of Business Korea on August 28, 2018. Voice phishing and mobile phone scams are recognized as a top concern not only in Korea but also in over the world in recent years. In this paper, we propose an efficient system to identify the caller and alert or prevent of dangerous to users. Our system includes a mobile application and web server using client and server architecture. The main purpose of this system is to automatically display the information of unidentified callers when a user receives a call or message. A mobile application installs on a mobile phone to automatically get the caller phone number and send it to the server through web services to verify. The web server applies a machine learning to a global phone book with Blacklist and Whitelist to verify the phone number getting from the mobile application and returns the result.
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