In order to prevent credit card fraud, all card issuers and credit card organizations actively detect fraudulent transactions as early as possible (provided by the industry)

[Reporter Li Lianghui/Taipei Report] According to the latest statistics from the United Credit Card Center, from January to August this year, the type of credit card fraud is "non-face-to-face transactions without the authorization of cardholders" approaching 1.4 billion yuan, an annual increase of 15.28%. 1. Computer online shopping has become the main channel for people to go shopping. United Credit Cards calls for "5 dos and 3 don'ts". In particular, avoid borrowing card numbers from relatives and friends, avoid providing personal information, and do not use public network transactions.

According to the latest credit card fraud statistics released by the United Credit Card Center, from January to August this year, the type of fraud is "MOTO/EC (non-face-to-face transactions not authorized by cardholders"), and the reported amount per month is as high as 150 to 190 million yuan. Since then, the reported amount has reached 1.4 billion yuan, an increase of 15.28% over the same period last year.

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The United Card Center pointed out that according to the rules of international credit card associations, most cardholders have no actual loss when they are stolen online, but they still remind cardholders to pay attention to the safety of online transactions, "5 Dos and 3 Don'ts".

Among them, the "5 things" are to pay attention to consumer text messages, read transaction bills (records) carefully, stay away from suspicious websites, develop good password naming habits, and use or download the latest anti-virus software and operating system.

"3 Don'ts" means don't let relatives and friends use your card number, don't respond to any unknown emails or text messages asking for personal information, and don't use public networks for transactions.

In response to this fraud trend, domestic credit card issuing banks have also adopted a number of measures, such as transaction text messages, email notifications, enhanced fraud detection system functions, and providing APPs that interact with cardholders.

As for the United Card Center, in addition to improving the processing efficiency of the "transaction risk warning and control system" developed by the center itself, it is also actively planning to use big data and develop fraud detection models. When cardholders conduct credit card transactions, The fraud detection model will score based on the cardholder's characteristics, consumption frequency, amount, consumption category, and regional transaction behavior, and generate a risk prediction score at the moment of the transaction. The higher the score, the greater the probability of counterfeit transactions. As an important reference for assessing the risk of credit card transactions.

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