Abstract
The damage from voice phishing reaches one trillion won (around 0,84 billion USD) in the past five years, following a report of Business Korea on August 28, 2018. Voice phishing and mobile phone scams are recognized as a top concern in Korea and the world in recent years. In this paper, we propose an efficient system to identify the caller and alert or prevent dangerous to users. Our system includes a mobile application and web server using client and server architecture. It aims to automatically display the information of unidentified callers and warnings to the user when they receive a call or message. A mobile application installs on a mobile phone to automatically get the caller’s phone number and send it to the server through web services to verify it. The web server applies machine learning to data on a global phone book with Blacklist and Whitelist to validate its phone number.
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This research is funded by University of Information Technology - VNU-HCM, under grant number D-2020-12.
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Tran, MH., Hoai, T.H.L., Choo, H. (2020). A Third-Party Intelligent System for Preventing Call Phishing and Message Scams. In: Dang, T.K., Küng, J., Takizawa, M., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2020. Communications in Computer and Information Science, vol 1306. Springer, Singapore. https://doi.org/10.1007/978-981-33-4370-2_37
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DOI: https://doi.org/10.1007/978-981-33-4370-2_37
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