Statistics-based abnormal interface access recognition method
An identification method and interface access technology, which is applied in the field of abnormal interface access identification based on statistics, and can solve problems such as operators' analysis of operating conditions.
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[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0045] Such as Figure 1~3 As shown, the method for identifying abnormal interface access based on statistics of the present invention includes the following steps:
[0046] Step 1, the server side obtains the log of the client's access to the server, and finally forms a historical record of which interfaces (referring to the interfaces on the server side) each user has accessed in a certain day;
[0047] The server end refers to a server end that reaches at least a total of tens of millions of users, or a server end that reaches at least one million daily active users (DAU, Daily Active User),
[0048] The client refers to all clients that are online and exchange data with the server;
[0049] At least the following content is recorded in the log of the client access server:
[0050] User information, accessed interface information, access date and time i...
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