Equipment fingerprint generation method and device, storage medium and electronic equipment

Abstract

The embodiment of the invention provides an equipment fingerprint generation method and device, a storage medium and electronic equipment. The method comprises the steps: acquiring equipment information; determining a first device fingerprint based on the device information and a local detection logic; sending the equipment information to a server, and judging whether a second equipment fingerprint returned by the server is received or not; and if the judgment result is yes, updating the first equipment fingerprint based on the second equipment fingerprint. The first equipment fingerprint is determined through the local detection logic, so that the dependence of equipment fingerprint generation on a network is reduced, and the equipment fingerprint can be generated with high timeliness.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, storage medium and electronic device for generating device fingerprints. Background technique [0002] The device fingerprint can be used to uniquely identify the device characteristics or unique device identifier of the device. Including some inherent, difficult to tamper, unique device identification. [0003] With the increase of the collection content needed to generate device fingerprints, the process of generating device fingerprints is becoming more and more complicated. In actual applications, the user's device environment level is different. For example, some devices are in the case of weak networks. The device information collected by the device fingerprint cannot be synchronized to the server in a timely and effective manner. For example, in the case of a weak network, when synchronizing the device information of the target device, it shoul...

AI Technical Summary

Problems solved by technology

[0005] In the process of realizing the present invention, the inventor found that in the related art, the server determines the device fingerprint and risk level based on the device information collected by the client, but the network situation between the client and the server is unstable, such as the server appears In the case of a problem, it will affect some business scenarios that rely on device fingerprints, and if an attacker knows this feature, he can do a denial of service attack on this point, and problems such as network jitter will affect the use of device fingerprints in actual production.

Even if the compensation logic of reporting device parameters to the business side server is used, it will have a great impact on the real-time performance of the business, and at the same time, the pressure on the business side's server will also increase, which will increase the cost of the business side's server.

When there is a problem with the device fingerprint service as a whole, the entire business system that relies on device fingerprints will also be paralyzed

At the same time, due to the high-frequency network interaction, there is network delay during the interaction process, and its real-time performance is also a big problem

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