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User password guessing system based on deep learning

A user password, deep learning technology, applied in the field of data mining, can solve the problem of not being able to capture long-distance dependencies of password string characters, and achieve the effect of reducing search space, improving algorithm efficiency, and improving operating efficiency

Active Publication Date: 2017-09-01
XI AN JIAOTONG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

The Markov model cannot capture the long-distance dependencies between the characters of the password string, and the user's personal information cannot be naturally embedded in the model

Method used

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  • User password guessing system based on deep learning
  • User password guessing system based on deep learning
  • User password guessing system based on deep learning

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Embodiment Construction

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the implementation manners of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0032] Such as figure 1 As shown, the system consists of four subsystems, which are data processing subsystem, pattern training subsystem, pattern extraction subsystem and password generation subsystem. The input data of the system is the user's personal information and the corresponding password. The user's personal information includes user name, name, date of birth, ID number, mobile phone number, email address, etc.;

[0033] First, input the above-mentioned user personal information and password data into the data processing subsystem, use the natural language processing forward maximum matching algorithm to match each set of personal information and passwords, and scan from left to right according to the match...

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Abstract

The invention provides a user password guessing system based on deep learning. According to the system, a password common formation mode of a user can be mined by analyzing a leaked password data set; a password possibly used by the user can be generated based on user personal information according to the learned password common formation mode; the system comprises four subsystems, namely a data processing subsystem, a mode training subsystem, a common mode extraction subsystem and a password generation subsystem; user password data is analyzed; a method based on a recurrent neural network is proposed to establish a user password mode probability model according to the user password data; a most common user password mode is generated according to a Beam Search method based on the user password mode probability model obtained through learning; and the password possibly used by the user is generated based on the user personal information according to the generated common password mode. The system can be used for guessing the user password, assessing user password strength, providing as few as modification suggestions for the user, improving the user password strength and the like.

Description

technical field [0001] The invention belongs to the technical field of data mining, and in particular relates to a user password guessing system based on deep learning. Background technique [0002] With the advent of the Internet era, there are more and more Internet services, and the user authentication method widely used in these Internet services is text passwords. In the foreseeable future, text passwords will still occupy an irreplaceable dominant position. Although many different user authentication mechanisms have been proposed, none of them can preserve all the advantages of text passwords without introducing additional burdens to users. Therefore, guessing user passwords from the perspective of attackers is conducive to deepening people's understanding of password strength. On the other hand, guessing methods can also be used to evaluate the strength of user passwords. The proposed method can help users choose stronger password strings and enhance User Account Sec...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F21/46
CPCG06F16/3344G06F16/90344G06F21/46
Inventor 王平辉陶敬梁肖陈雅静孙飞扬兰林贾鹏田栋文柳哲孙立远
Owner XI AN JIAOTONG UNIV
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