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Network ticket buying abnormal behavior recognition method and system and equipment

A behavioral and abnormal technology, applied in the field of identification of abnormal online ticket purchases, can solve problems such as inability to uniquely identify user equipment, easy to kill normal users by mistake, and unsatisfactory identification of scalpers, etc.

Inactive Publication Date: 2017-02-22
BEIJING HONGMA MEDIA CULTURE DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when applying the above technology, the inventor found that single-dimensional identification cannot uniquely identify user equipment, and it is easy to kill normal users by mistake, such as IP, scalpers and normal users are in the same building or community, and use the same exit IP. Use IP identification, it is easy to kill normal users by mistake
Second, frequency identification can only identify scalpers to a certain extent. When scalpers increase the visit interval and reduce the frequency of visits, it is difficult to judge
In order to quickly grab tickets, scalpers will take shortcuts and will not operate like normal users, so their behavior trajectory is also missing key steps. Therefore, the current identification method based on traffic access anomalies no longer meets the needs of identifying scalpers

Method used

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  • Network ticket buying abnormal behavior recognition method and system and equipment
  • Network ticket buying abnormal behavior recognition method and system and equipment
  • Network ticket buying abnormal behavior recognition method and system and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0086] Embodiment 1 of the present invention provides a method for identifying abnormal behavior of online ticket purchase, such as figure 1 As shown, it includes: steps S110, S120 and S130.

[0087] Step S110, hashing the user IP, Cookie and access agent environment Agent in the online ticket purchase behavior record into a globally unique encoded string IP+Cookie+Agent to form a unique user identifier.

[0088] Including: using a hash function to hash the user IP, Cookie and access agent environment Agent in the online ticket purchase behavior record into a globally unique coded string IP+Cookie+Agent to form a unique user identifier.

[0089] For example, F("192.168.2.12", "283434223423", "Mozilla / 5.0 (Windows NT 6.1; WOW64) AppleWebKit / 537.36 (KHTML, like Gecko) Chrome / 37.0.2062.120Safari / 537.36")=0ca175b9c0f7626a426a831d895e Among them, F(IP, cookie, Agent) identifies a Hash function.

[0090] Step S120, extracting the attributes of the online ticket purchase behavior i...

Embodiment 2

[0137] Embodiment 2 of the present invention provides an identification system 200 for abnormal behavior of online ticket purchase, such as figure 2 shown, including:

[0138] The identification module 21 is used to hash the user IP, Cookie and access agent environment Agent in the online ticket purchase behavior record into a globally unique coded string IP+Cookie+Agent to form a unique user identification.

[0139] The extraction module 22 is configured to extract the online ticket purchase behavior attributes in the historical online ticket purchase behavior records and real-time online ticket purchase behavior records identified by the user.

[0140] The identification module 23 is used to identify the user IP of the abnormal behavior attribute in the online ticket purchase behavior attribute, and store the user IP of the abnormal behavior attribute in a blacklist for isolation.

[0141] Further, such as image 3 As shown, the identification module 21 includes:

[0142...

Embodiment 3

[0173] Embodiment 3 of the present invention provides an identification device 300 for abnormal behavior of online ticket purchase, such as Figure 9 As shown, it includes: the system 200 described in any one of the second embodiment.

[0174] Embodiment 3 of the present invention forms a unique user identifier by hashing the user IP, Cookie and access agent environment Agent in the network ticket purchase behavior record into a globally unique coded string IP+Cookie+Agent; extracts the user identifier The historical network ticket purchase behavior records and the network ticket purchase behavior attributes in the real-time network ticket purchase behavior records; identify the user IP of the abnormal behavior attribute in the network ticket purchase behavior attribute, and store the user IP of the abnormal behavior attribute in the Blacklisted for isolation. Determine various thresholds for identifying scalpers, and provide data judgment basis for identifying scalpers. Rea...

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Abstract

The invention provides a network ticket buying abnormal behavior recognition method and system and equipment. The method comprises the steps that user IP, Cookie and access proxy environment Agent hashing in network ticket buying behavior records are adopted as global unique encoding character string IP+Cookie+Agent, and a unique user identifier is formed; network ticket buying behavior attributes in historic network ticket buying behavior records and real-time network ticket buying behavior records of the user identifier are extracted; the user IP with the abnormal behavior attribute in the network ticket buying behavior attribute is recognized, and the user IP with the abnormal behavior attribute is stored into a blacklist to be isolated. According to the network ticket buying abnormal behavior recognition method and system and equipment, various thresholds of ticket resale can be determined and recognized, and the data judgment basis is provided for determination of ticket resale. Behavior characteristics of users are recorded in real time, and the real-time basis can be provided for real-time interception of ticket resale; the blacklist can be built, the ticket resale can be intercepted in advance on the basis of the blacklist, and resource distribution is more reasonable and fairer.

Description

technical field [0001] The invention relates to the technical field of abnormal behavior identification, in particular to a method, system and equipment for identifying abnormal behavior of online ticket purchase. Background technique [0002] Due to the high price of live performance tickets and the lack of resources, a large number of scalpers will come to buy tickets (abnormal behavior of online ticket purchase), and then resell at high prices. The emergence of scalpers will damage the interests of users and greatly reduce the user experience of online ticket purchase. and user stickiness of the platform. In order to grab tickets, scalpers must conduct high-frequency, large-scale visits, and place orders as quickly as possible to occupy resources. Therefore, scalpers generally use procedures to swipe tickets. At present, most of the scalpers are identified by counting the user's access source, access frequency, and access cycle, and finding out the access anomalies that...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
CPCH04L63/1425H04L63/0236
Inventor 曹杰冯雨晖宿晓坤杨睿周宇红
Owner BEIJING HONGMA MEDIA CULTURE DEV
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