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Personal privacy value calculation method based on big data analysis

A technology of personal privacy and computing methods, applied in computing, digital data protection, electronic digital data processing, etc., can solve problems such as insufficient evaluation, insufficient real-time models, and insufficient objectivity and fairness

Pending Publication Date: 2019-07-23
LUDONG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is that the evaluation existing in the prior art is not comprehensive enough, objective and fair enough, and the real-time performance of the model is insufficient.

Method used

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  • Personal privacy value calculation method based on big data analysis
  • Personal privacy value calculation method based on big data analysis
  • Personal privacy value calculation method based on big data analysis

Examples

Experimental program
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Embodiment 1

[0070] This embodiment provides a personal privacy value calculation method based on big data analysis, such as figure 1 , the personal privacy value calculation method based on big data analysis includes:

[0071] Step 1. Simulate the original data, including data cleaning, modifying outliers through fuzzy matching, filling missing values, and original standardization, to complete the original data classification;

[0072] Step 2: Construct a privacy value scoring model to calculate the total privacy value score, and define the total privacy value score to be composed of expected return value, risk value, and information-related value calculations;

[0073] Step 3, based on historical data, dynamically optimize the database and update the basic scoring model of privacy value:

[0074] Step 4: Scenario analysis of privacy value scoring: An improved model based on the small-world network is established, and through the simulation analysis of data association, the impact on the...

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Abstract

The invention relates to a personal privacy value calculation method based on big data analysis, which solves the technical problems that the evaluation is not comprehensive enough and is not objective and fair enough, and the real-time performance of a model is not enough, and comprises the steps of 1 simulating the original data to classify the original data; 2 constructing a privacy value scoring model to calculate a privacy value total score, and defining that the privacy value total score is calculated by an expected income value, a risk value and an information related value; 3 accordingto the historical data, carrying out database dynamic optimization, and updating the privacy value basic scoring model; 4, carrying out privacy value scoring scene analysis; and 5, checking the stability of the updated privacy value basic scoring model in the step 4, defining a checking result as sensitivity, so that the method solves the problems better, and can be used in the information security assessment.

Description

technical field [0001] The present invention relates to the field of information security computing, in particular to a personal privacy value computing method based on big data analysis. Background technique [0002] In the Internet age, mobile phone code scanning technology, represented by electronic payment and shared bicycles among the "New Four Great Inventions", brings great convenience to people's lives, but at the same time, there is a huge crisis of personal privacy leakage. [0003] Traditional information security maintenance methods include improving the security of information systems through technical means, establishing privacy protection laws and regulations, etc. These measures are trying to block the black industrial chain, but due to the temptation of high profits, there are still criminals who know the law and break the law. Put yourself on the line. Therefore, at the stage when the risk of personal privacy leakage cannot be fully and effectively control...

Claims

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Application Information

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IPC IPC(8): G06F21/62
CPCG06F21/6245
Inventor 刘广臣张镜王玉李赫马悦泽王富国赵薇
Owner LUDONG UNIVERSITY
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