Man-machine verification method based on common knowledge

A verification method and common sense technology, applied in the field of man-machine verification based on common sense knowledge, can solve the problems of low verification accuracy and low security of verification codes, and achieve the effect of improving security, simple operation mode, and rich object categories

Active Publication Date: 2021-02-19
XIDIAN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects in the above-mentioned prior art, and propose a human-machine verification method based on common sense knowledge, which is used to solve the low verification accuracy rate caused by the low security of verification codes existing in the prior art technical issues

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  • Man-machine verification method based on common knowledge
  • Man-machine verification method based on common knowledge
  • Man-machine verification method based on common knowledge

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Embodiment Construction

[0046] Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail:

[0047] refer to figure 1 , the present invention comprises the following steps:

[0048] Step 1) Build a list of image quantities and a list of keywords:

[0049] Step 1a) Randomly select C independent starting concepts that are not repeated and whose element type is a string from the noun system of the English thesaurus WordNet, and form a list of noun categories whose element type is a string, where 1≤C≤25. In this embodiment, C=14, and the selected 14 independent starting concepts specifically include: natural, food, animal, plant, naturalphenomenon, artifact, person, body, shape, location, quantity, event, group, and substance.

[0050] Step 1b) Initialize the keyword list keywordList whose element type is a character string and the image number list numList whose element type is an integer with an initial length of s, initialize the simi...

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Abstract

The invention provides a man-machine verification method based on common knowledge, which improves the security of a verification code on the basis of ensuring user friendliness so as to effectively improve the accuracy of man-machine verification. The method comprises the following implementation steps: 1, constructing an image quantity list and a keyword list; 2, obtaining a verification code based on common knowledge; 3, generating a user verification interface of the man-machine verification system; 4, acquiring click behavior information of the user; 5, obtaining a man-machine verification result. According to the invention, the common knowledge is applied to the generation of the verification code by utilizing the difference of the understanding degrees of people and machines for thecommon knowledge, the difficulty of cracking the verification problem by an artificial intelligence algorithm is increased when the man-machine verification system performs man-machine verification on the user, and the security of the verification code is improved, so that the accuracy of the man-machine verification is effectively improved, and the risk that the Internet is maliciously attackedbased on an artificial intelligence algorithm in network scenes of login, registration and the like is reduced.

Description

technical field [0001] The invention belongs to the technical field of safety protection and relates to a man-machine verification method, in particular to a common sense-based man-machine verification method, which can be used for man-machine verification of users in network scenarios such as login and registration. Background technique [0002] Human-machine verification is a Turing test that distinguishes between computers and humans fully automatically. Its design and implementation mainly includes verification codes, user verification interfaces, and human-machine judgment systems. The difficulty of man-machine verification is to ensure the accuracy of man-machine verification results. The higher the accuracy of man-machine verification results, the lower the risk of the Internet being maliciously attacked based on artificial intelligence algorithms in network scenarios such as login and registration. An important indicator of machine verification accuracy is the securi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/31G06F21/36G06F16/955G06F16/36G06F16/31G06K9/62
CPCG06F21/36G06F21/31G06F16/9566G06F16/367G06F16/316G06F18/214
Inventor 高海昌高艺鹏韦依儿毛文杰罗赛男资洋
Owner XIDIAN UNIV
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