Human-machine recognition method and equipment

Abstract

The invention discloses a human-machine recognition method and equipment. The human-machine recognition method comprises the steps of obtaining behavior data of a client side under a running condition; if the behavior data is matched with behavior features of a corresponding human in a preset behavior analysis model, determining that the operator of the client side is a human; if the behavior data is not matched with behavior data of a human in a preset behavior data judgement model, determining that the operator of the client side is a machine. In this way, whether a human or a machine operates the client side is judged according to the judgement whether or not the behavior data of the client side in running, namely rotation data, stress data and bearing data of the client side in running, is matched with the behavior features of the corresponding human in the preset behavior analysis model, so that whether the operator is a human or a machine is recognized on the basis of the behavior features of the human operating the client side, and recognition is simple, precise and quick.

Description

Technical field [0001] The present invention relates to the field of human-machine identification, in particular to a method and equipment for human-machine identification. Background technique [0002] With the rapid development of the Internet, the early traditional game plug-in industry, that is, the use of machine slots, has now penetrated into the Internet risk control business security field. At present, most business software on the market targets this anti-human-machine technology based on human-machine recognition. It has not been widely used or even not used, which has caused some security problems in related businesses. [0003] The existing man-machine identification methods mainly include technologies such as restricted IP, device fingerprints, browser fingerprints, verification codes, graphic verification, and mobile phone text messages. [0004] However, restricting the client to IP is a restriction of network resources. Nowadays, there is not much restrictive effect....

AI Technical Summary

Problems solved by technology

[0004] However, restricting the client based on IP is a network resource restriction, and now there is not much restriction effect. If an attacker has a large number of IP resource pools, he can easily bypass this restriction; as for device fingerprints, it is a physical resource restriction. If Malicious attackers have a lot of physical resources and can easily bypass client restrictions; browser fingerprint restrictions are request header restrictions. In general, camouflage can be modified to bypass client restrictions

[0005] As for identification methods such as verification code identification and graphic verification, most of them can be quickly cracked; mobile phone text messages are relatively cumbersome and costly.

[0006] At present, none of the existing identifications can carry out simple and effective human-machine identification, so a simple and effective human-computer identification method is currently needed.

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