Password attribute analysis method based on neural network

A technology of neural network and attribute analysis, which is applied in the system field of obtaining valuable information, can solve problems such as undiscovered literature reports, achieve fast and effective analysis methods, reduce the workload of manual operations, and improve the efficiency of research work

Inactive Publication Date: 2015-04-29
WUXI SIKURUI TECH INFORMATION
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Problems solved by technology

[0007] In further novelty searches, no literature reports identical

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  • Password attribute analysis method based on neural network
  • Password attribute analysis method based on neural network
  • Password attribute analysis method based on neural network

Examples

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Example Embodiment

[0029] An example of the present invention will be described in detail below. This example is implemented on the premise of the technical solution of the present invention, and detailed implementation and specific operation procedures are given, but the protection scope of the present invention is not limited to the following examples.

[0030] The password attribute analysis method involved in this example is based on the MATLAB software platform. Due to copyright issues, the software does not support the compilation of the neural network toolbox and cannot support mixed programming. The neural network toolbox is an indispensable part of the analysis system. Therefore, it can only be attached to MATLAB software and cannot run independently.

[0031] As attached figure 1 As shown, the implementation process includes: obtaining original password database samples, assigning attributes to password samples, reading and storing password attribute samples in MATLAB, determining input and ...

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Abstract

The invention discloses a method for analyzing password data in the field of computer security, and particularly relates to a system for analyzing the attribute relation of real password data based on neural network modeling to obtain valuable information. The method comprises the following main steps: acquiring a password attribute data source, determining a neural network model, carrying out training learning, carrying out a simulation test and the like. The password attribute data source is obtained by endowing each password with a group of attributes and performing assignment according to password compositional features in sequence; the neural network model comprises a network type, input and output attributes, the number of network layers, the number of neutrons of each layer, training sample and simulation sample capacity, and relevant function and parameter setting; the training learning is to obtain a relation model closest to a real one by continuously correcting the model according to a certain quantity of attribute data training samples; the simulation test is to test a trained network according to a certain quantity of attribute data test samples; whether a valuable relation and a rule exist between the input attribute and the output attribute or not is judged according to the simulation accuracy, thus instructing a dictionary file to be generated and providing directive assistance for cracking and recovery of the password.

Description

technical field [0001] The invention relates to an analysis method for password data in the field of computer security, in particular to a system for analyzing and processing attribute relationships of real password data based on neural network modeling to obtain valuable information. Background technique [0002] Artificial neural network (ANN for short), is a complex network system interconnected by basic processing units called neurons, referred to as neural network (NN for short). A mathematical or computational model of the structure and function of a network. Neural networks are computed by a large number of artificial neuron connections. In most cases, the artificial neural network can change the internal structure on the basis of external information, which is an adaptive system. A modern neural network is a nonlinear statistical data modeling tool that is often used to model complex relationships between inputs and outputs, or to explore patterns in data. [0003...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/10
Inventor 邱卫东陈锐浩刘伯仲郭奕东
Owner WUXI SIKURUI TECH INFORMATION
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