Credit threshold training method, IP address detection method and related devices
A technology of IP addresses and training methods, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as false interception and bypassing management and control.
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Embodiment 1
[0070] figure 1 This is a flowchart of a credit threshold training method provided in Embodiment 1 of the present invention. This embodiment can be applied to obtain the degree of influence of different features on anomaly detection through historical data learning, so as to construct an effective credit scoring mechanism. This method may be performed by a credit threshold training device, which may be implemented in software and / or hardware, and may be configured in a computer device, such as a server, workstation, personal computer (PC), etc., Specifically include the following steps:
[0071] Step 101 , collect statistics on various service characteristics of service operations triggered based on IP address history.
[0072] In this embodiment, the client (client) historically requests the server (server) for services such as registration, login, password recall, payment, etc., thereby triggering corresponding business operations, such as sending a short message containing...
Embodiment 2
[0176] figure 2 A flowchart of a method for detecting an IP address provided in Embodiment 2 of the present invention. This embodiment can be adapted to detect the legitimacy of the IP address through the credit score of the IP address, and the method can be performed by an IP address detection device, The IP address detection device can be implemented by software and / or hardware, and can be configured in a computer device, such as a server, a workstation, a personal computer (PC), etc., and specifically includes the following steps:
[0177] Step 201 , collect statistics on various service characteristics of service operations triggered in real time based on the IP address.
[0178] In this embodiment, as image 3 As shown, the client (client) 311 can call the business operation interface 321 in real time, and request services such as registration, login, password recall, payment, etc. Send a text message containing a verification code, an email containing a verification l...
Embodiment 3
[0214] Figure 4 The structural block diagram of a credit threshold training device provided in Embodiment 3 of the present invention may specifically include the following modules:
[0215] The historical service feature statistics module 401 is used to count various service features for the service operations triggered based on the history of the IP address;
[0216] a correlation coefficient calculation module 402, configured to calculate at least two correlation coefficients for each of the service features, where the correlation coefficients are used to represent the correlation between the service features and legitimacy;
[0217] A credit value calculation module 403, configured to generate, for the IP address, a credit value representing legitimacy according to the correlation coefficient corresponding to the service feature;
[0218] An evaluation index generation module 404, configured to generate an evaluation index for the IP address, and the evaluation index is u...
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