Detection method and device for cheating behavior in e-commerce industry
A behavior and industry technology, applied in the field of cheating detection in the e-commerce industry, can solve problems such as difficulty in finding
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Embodiment 1
[0044] The embodiment of the present invention provides a method for detecting cheating in the e-commerce industry, such as figure 1 As shown, the processing flow of the method of this embodiment includes the following steps:
[0045] Step 101, receiving a user analysis request.
[0046] The server of the e-commerce enterprise records the International Mobile Subscriber Identification Number (IMSI), the International Mobile Equipment Identity (IMEI) and the mobile user's international integrated service number of the user terminal that has logged into the server. Identification information of the user terminal such as a network code (Mobile Subscriber International Integrated-Service-Digital-NetworkNumber, MSISDN).
[0047] In the method of this embodiment, the e-commerce company can periodically (the period is Pa) send a user analysis request to the detection device, and the cycle can be daily, weekly, etc., or it can be determined according to the subsidy and fee payment cy...
Embodiment 2
[0091] An embodiment of the present invention provides a detection device for cheating in the e-commerce industry, such as figure 2 As shown, the detection device includes a receiving unit 201, an extraction unit 202, an acquisition unit 203, a division unit 204, and a determination unit 205; wherein
[0092] The receiving unit 201 is configured to receive a user analysis request, wherein the user analysis request includes a detection period and identification information of each user terminal to be analyzed;
[0093] The extraction unit 202 is configured to use the identification information of the user terminal to be analyzed received by the receiving unit 201 as an index to extract the X data record XDR data generated by the user terminal to be analyzed within the detection period;
[0094] The obtaining unit 203 is configured to obtain the location information and operation attribute statistics of the user terminal to be analyzed from the XDR data generated by the user te...
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