A Research on Text Analysis of Telecommunication Network Fraud Information

Jiazhen Sheng; Weiwei Wang; Kuiyi Liu

doi:10.18282/jnt.v3i1.2503

Jiazhen Sheng Southwest Minzu University
Weiwei Wang Southwest Minzu University
Kuiyi Liu Southwest Minzu University

Article ID: 2503

215 Views, 39 PDF Downloads

DOI: https://doi.org/10.18282/jnt.v3i1.2503

Keywords: Telecommunication Network, Text Analysis, Cyber Fraud

Abstract

With the advancement of Internet technology, the telecommunication network text information has featured novelty and diversification. The ever-changing text information involving cyber fraud poses new challenges to maintaining social order and protecting users' legitimate rights and interests. This paper first interprets the necessity of an analysis on the telecommunication network text information involving cyber fraud. Then, it analyzes the characteristics of this kind of information from its definition, dissemination mode and audience. Finally, it illustrates the application of text analysis on telecommunication network text information involving cyber fraud and the problems to be further studied from the aspects of Chinese word segmentation, sensitive word frequency, dictionary construction, etc., and explains some precaution measures.

References

Lou Yongtao, TANG Xiang. The prevention, control and reflection of telecom network fraud crime in the big-data age. Journal of Chongqing University of Technology (Social Science) Vol. 2020, 34(03):121-128.

2019 Research Report on the Trend of Cyber Fraud.

Zhang Qi. On the Approaches to Network Fraud Education for the Elderly from the Perspective of CIP Theory â€”â€”â€”Based on "Mobile Payment Usage in China" from 2014 to 2020. Contemporary Continuing Education, 2021, 39(03):74-80.

Li Jia. A Tentative Study on Chinese Segmentation Algorithm. Software, 2013, 34(07):75-76+120.

Yan Hanbing, Zhou Hao, Zhang Honggang. Automatic Malware Classification via PRICoLBP. Chinese Journal of Electronics, 2018, 27(04):852-859.

Hao Wenjiang, Xu Liping, JIANG Jinlei, et al. Research on Control Technology of Telecom Network Fraud Crime. Netinfo Security, 2016(9): 213-217.

Bing Wu. Application of Adaboost Algorithm and Immune Algorithm in Telecommunication Fraud Detection. International Conference on Network, Communication, Computer Engineering (NCCE 2018). 2018:5.