The Characteristics and Prevention Countermeasures of Telecom Network Fraud Crime under the Background of Big Data
DOI: 10.23977/jsoce.2023.050511 | Downloads: 71 | Views: 573
Author(s)
Dong Anyang 1
Affiliation(s)
1 People's Public Security University of China, Beijing, 100038, China
Corresponding Author
Dong AnyangABSTRACT
With the rapid development of internet technology and the arrival of the big data era, telecommunications network fraud has become a serious social problem with a growing number of cases in recent years. The victims and the amount of money lost are countless, making the prevention and crackdown of telecommunications network fraud a top priority for law enforcement agencies. This article explores the characteristics and prevention strategies of telecommunications network fraud in the context of big data. Starting from the spatiotemporal distribution and studying the social demographic characteristics, the characteristics of telecommunications network fraud are identified. Finally, the prevention strategies for telecommunications network fraud are summarized and analyzed, including strengthening the legal system, raising public awareness, and optimizing telecommunications network security technology. The aim is to provide effective reference and guidance for relevant departments and personnel, and to promote the prevention and crackdown of telecommunications network fraud.
KEYWORDS
Telecom network fraud, spatial and temporal distribution, social and demographic characteristicsCITE THIS PAPER
Dong Anyang, The Characteristics and Prevention Countermeasures of Telecom Network Fraud Crime under the Background of Big Data. Journal of Sociology and Ethnology (2023) Vol. 5: 59-65. DOI: http://dx.doi.org/10.23977/jsoce.2023.050511.
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