Method, device and terminal for detecting game plug-in
A game and object technology, applied in the computer field, can solve the problem of low accuracy of game plug-ins, and achieve the effect of reducing manual participation, improving accuracy and reducing errors
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Embodiment 1
[0029] According to an embodiment of the present invention, an embodiment of a method for detecting game cheating is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0030] figure 1 It is a flowchart of a method for detecting game cheats according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0031] Step S102, acquiring the test data of the test object.
[0032] In step S102, the object to be tested is a game client, and the data to be tested is a log generated by the game client when the game is running on the game client.
[0033] Optionally, the detection terminal for detecting game cheating can ...
Embodiment 2
[0099] According to an embodiment of the present invention, an embodiment of a device for detecting game cheating is also provided. It should be noted that the device can execute the method for detecting game cheating in Embodiment 1, wherein, Figure 7 It is a schematic structural diagram of a device for detecting game cheats according to an embodiment of the present invention, such as Figure 7 As shown, the device includes: an acquisition module 701 , a detection module 703 , a processing module 705 and a judgment module 707 .
[0100] Wherein, the obtaining module 701 is used to obtain the data to be tested of the object to be tested; the detection module 703 is used to detect the data to be tested based on multiple supervised learning models, and obtain multiple classification results corresponding to multiple supervised learning models, wherein , multiple supervised learning models are used to train the data of multiple objects to obtain multiple classification results; ...
Embodiment 3
[0111] According to an embodiment of the present invention, a terminal embodiment for detecting game cheating is also provided. It should be noted that the system can execute the method for detecting game cheating in Embodiment 1, wherein the terminal includes:
[0112] The processor is used to obtain the test data of the test object, detect the test data based on multiple supervised learning models, obtain multiple classification results corresponding to the multiple supervised learning models, and then classify the multiple classification results from preset dimensions The results are processed to obtain the degree of suspicion corresponding to the preset dimension. Finally, according to the degree of suspicion corresponding to the preset dimension, it is judged whether the object to be tested is an abnormal object. The data of the object is trained to obtain multiple classification results; the display is used to display the object information of the abnormal object.
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