Telecom Bank Card Fraud Analysis Based on Statistical Measures

In recent years, telecommunication network fraud has become increasingly severe, posing significant threats to financial security and social stability. This study aims to investigate the correlation between fraud occurrence and key indicators, including bank card usage and PIN authentication, to identify risk factors and protective measures. Statistical analyses were conducted on a comprehensive dataset of reported fraud cases, incorporating Kolmogorov Smirnov (K S) tests to examine the distribution characteristics of (Fraud), (Card), and (PIN) variables, followed by Spearman correlation analysis to assess their interdependencies. Visualization through pie charts revealed the proportional distribution of fraud types, with particular emphasis on differentiating telecom related bank card fraud from non-telecom cases. The results indicate that bank card transactions conducted via digital devices exhibit a higher susceptibility to fraudulent activities, whereas the implementation of PIN verification significantly mitigates fraud risk. These findings provide empirical insights for enhancing anti-fraud strategies, emphasizing the importance of secure authentication mechanisms in digital financial transactions.

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Publication Details

Journal
International Scientific Technical and Economic Research
Published
2025-06-07
DOI
https://doi.org/10.71451/istaer2525
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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article

Telecom Bank Card Fraud Analysis Based on Statistical Measures

Guangshuo Liu, Yang Zhao, Ziqing Liu
International Scientific Technical and Economic Research
Network Security and Intrusion Detection
article

Telecom Bank Card Fraud Analysis Based on Statistical Measures

Guangshuo Liu, Yang Zhao, Ziqing Liu
article en

Abstract

In recent years, telecommunication network fraud has become increasingly severe, posing significant threats to financial security and social stability. This study aims to investigate the correlation between fraud occurrence and key indicators, including bank card usage and PIN authentication, to identify risk factors and protective measures. Statistical analyses were conducted on a comprehensive dataset of reported fraud cases, incorporating Kolmogorov Smirnov (K S) tests to examine the distribution characteristics of (Fraud), (Card), and (PIN) variables, followed by Spearman correlation analysis to assess their interdependencies. Visualization through pie charts revealed the proportional distribution of fraud types, with particular emphasis on differentiating telecom related bank card fraud from non-telecom cases. The results indicate that bank card transactions conducted via digital devices exhibit a higher susceptibility to fraudulent activities, whereas the implementation of PIN verification significantly mitigates fraud risk. These findings provide empirical insights for enhancing anti-fraud strategies, emphasizing the importance of secure authentication mechanisms in digital financial transactions.

International Scientific Technical and Economic Research
Qinghai Normal University (CN)
Openalex Percentile: Top 87%
Network Security and Intrusion Detection
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Telecom Bank Card Fraud Analysis Based on Statistical Measures — Guangshuo Liu, Yang Zhao, et al. · International Scientific Technical and Economic Research (2025) | TGRS Research Map | TGRS