Design of an Intelligent Fraud Prevention System of Campus

DOI

10.2991/978-94-6463-560-7_12How to use a DOI?

Keywords

Campus fraud; neural network; psychological feature; prevention system; monitoring terminal; monitoring platform; vocational college; psychological feature

Abstract

Campus fraud is increasingly rampant, which seriously affects the property safety of students. How to effectively prevent campus fraud has become a major focus of society. This paper proposes a campus fraud prevention system based on neural network. The system deploys monitoring terminals in student dormitories, and collects students’ call sounds using monitoring terminals, and uploads call data to the monitoring platform. The monitoring platform converts the voice data into text data, uses the TextMind Chinese psychological analysis system to extract the psychological feature word vectors of the call text, and finally inputs they into the neural network for recognition. When the student is being defrauded, the counselor will be notified by the system immediately to persuade the student to avoid campus fraud. The experimental results show that the identification accuracy rate of campus fraud prevention system based on neural network can reach 93.5%, which is superior to existing fraud prevention systems that rely on identifying fraudulent phone numbers or identifying call text content to prevent fraud.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lijun Tang
PY  - 2024
DA  - 2024/11/01
TI  - Design of an Intelligent Fraud Prevention System of Campus
BT  - Proceedings of the 2024 4th International Conference on Internet Technology and Educational Informatization (ITEI 2024)
PB  - Atlantis Press
SP  - 94
EP  - 100
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-560-7_12
DO  - 10.2991/978-94-6463-560-7_12
ID  - Tang2024
ER  -