Order anti-fraud processing method and device
A processing method and order technology, applied in the field of communication, can solve problems such as the inability to accurately identify fraudulent numbers, and achieve the effects of avoiding resale of fraudulent orders, accurate identification, and avoiding malicious orders
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Embodiment 1
[0055] The order anti-fraud processing method of this application is mainly applied to the process of the user purchasing a mobile phone card on the Internet operator mall, and determining whether the user's order is an abnormal order or a normal order by tracking the order for purchasing the mobile phone card, that is, it is mainly applied to mobile phone cards. The application scenario of card order delivery, based on the application scenario, determines whether the order behavior of the user on the operator mall is normal from multiple dimensions such as the risk level of the order area, age group information, the number of activated orders, and the anti-fraud warning index, so as to prevent telecom fraud happened.
[0056] refer to figure 1 , which shows a flow chart of an order fraud prevention processing method described in Embodiment 1 of the present application. The method is applied to order delivery, and specifically includes the following steps:
[0057] Step 101: ...
Embodiment 2
[0069] refer to figure 2 , which shows a flow chart of an order fraud prevention processing method described in Embodiment 2 of the present application. The method is applied to order delivery. This embodiment mainly realizes the fraud prevention judgment on abnormal orders through the order quantity, specifically including Follow the steps below:
[0070] Step 201: Obtain the quantity of the activated order on the order page and the delivery information of the activated order.
[0071] Wherein, the delivery information includes: delivery address information and identity information.
[0072] Step 202: Determine the regional risk level of the activation order according to the delivery address information.
[0073] Step 203: Determine the age group information corresponding to the regional risk level of the activation order according to the identity information.
[0074] The implementation process of step 201-step 203 is the same as that of step 101-step 103 in the first em...
Embodiment 3
[0091] refer to image 3 , which shows a flow chart of an order fraud prevention processing method described in Embodiment 3 of the present application. The method is applied to order delivery. This embodiment mainly realizes the prevention of abnormal orders through the set fraud prevention early warning index Fraud judgment, specifically includes the following steps:
[0092] Step 301: Obtain the quantity of the activated order on the order page and the delivery information of the activated order.
[0093] Wherein, the delivery information includes: delivery address information and identity information.
[0094] Step 302: Determine the regional risk level of the activation order according to the delivery address information.
[0095] Step 303: Determine the age group information corresponding to the regional risk level of the activation order according to the identity information.
[0096] The implementation process of step 301-step 303 is the same as that of step 101-ste...
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