Korean Voice Phishing Detection Applying NER With Key Tags and Sentence-Level N-Gram

Author:

Yu Seunguk1,Kwon Yejin2ORCID,Kim Minju3,Lee Kiseong4ORCID

Affiliation:

1. Department of Artificial Intelligence, Chung-Ang University, Seoul, South Korea

2. School of Applied Statistics, Chung-Ang University, Seoul, South Korea

3. School of Business and Economics, Chung-Ang University, Seoul, South Korea

4. Humanities Research Institute, Chung-Ang University, Seoul, South Korea

Funder

Ministry of Education of Republic of Korea

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference32 articles.

1. Real-time Korean voice phishing detection based on machine learning approaches

2. Phishing, SMiShing & vishing: An assessment of threats against mobile devices;Yeboah-Boateng;J. Emerg. Trends Comput. Inf. Sci.,2014

3. Giving you back control of your data digital signing practical issues and the eCert solution

4. FBI: Internet Crime Report 2020

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