Safety processing method, device and apparatus based on user behaviors

Abstract

The invention discloses a safety processing method, device and apparatus based on user behaviors, and relates to the technical field of data safety. The method comprises the following steps: judging whether a user is an attacker or not according to page browsing behavior data of the user before operating a verification code and operation behavior data of the verification code; and if judging the operation behavior data of the user is behavior data of a real user, performing clustering analysis by using similarity between counterfeit behaviors based on the operation behavior data of the user, and if the suspicious frequency of the user is set to be greater than a preset frequency threshold, performing clustering analysis by using similarity between counterfeit behaviors; If not, increasingthe verification difficulty, and the probability that the model is classified as an attacker, and re-classifying behavior data re-collected by the user by using the model; and finally, determining whether the user is an attacker or not by fusing classification results. Stricter black product attack defense can be realized based on the user behavior data of the operation verification code, and thewebsite security is ensured.

Description

[0001] This application is a divisional application of a Chinese patent application with application number 2020105367972 and titled "User Behavior-Based Security Processing Method, Device, and Equipment" submitted to the China Patent Office on June 12, 2020. technical field [0002] The present application relates to the technical field of data security, in particular to a security processing method, device and equipment based on user behavior. Background technique [0003] As an effective means of user authentication, verification codes have been widely adopted by the industry to defend against attacks from Internet hackers. The main principle is that black production usually needs a large number of repeated visits to obtain benefits, and verification codes can effectively increase the cost of each visit. [0004] At present, with the rise of deep learning in recent years, it has become easier and easier to use computers to automatically identify website verification codes...

AI Technical Summary

Problems solved by technology

Regardless of slider verification codes, picture selection verification codes, text selection verification codes, or even quizzes that require semantic understanding, there are corresponding mature in-depth model solutions, which greatly reduces the need for hackers to crack picture or text verification codes. Difficulty, which makes the defense against illegal attacks fail, thus reducing the security of the website

Images