Construction method and system for customer information leakage risk assessment system

Abstract

The invention discloses a construction method and system for a customer information leakage risk assessment system, and the construction method comprises the steps: constructing the customer information leakage risk assessment system based on a radial basis function neural network, and giving a specific standard for the obtaining of a radial basis function neural network training sample and the determining of a kernel function. When the radial basis function neural network trained and obtained through the method is used for the customer information leakage risk assessment of an application interface of a customer information system, there is no need of a technician, thereby avoiding the subjective experience of the technician from affecting an assessment result. The method can achieve a purpose that the output is not changed under the condition that the input is not changed, provides a unified scoring standard for the assessment of the customer information leakage risks of the customerinformation system, and is precise, stable and universal. Moreover, the assessment efficiency of the radial basis function neural network obtained through the method is better than the assessment efficiency of manual assessment, so the method is higher in assessment efficiency.

Description

technical field [0001] This application relates to the technical field of machine learning, and more specifically, relates to a construction method and construction system of a customer information leakage risk assessment system. Background technique [0002] Customer information system refers to a system that contains a large amount of customer information used in various industries. Generally, a customer information system contains multiple application pages for displaying customer information, and also stores a large amount of customer information. Once these customer information Leakage may cause unpredictable economic losses and adverse social impacts on customers and enterprises. [0003] Research on the assessment of customer information leakage risk in customer information systems is still in its infancy. The existing assessment of customer information leakage risk in customer information systems basically uses the method of technical personnel relying on subjective ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned technical problems, the present invention provides a construction method and construction system of a customer information leakage risk assessment system to solve the deficiency in the prior art of relying on the subjective experience of technicians to judge the customer information leakage risk of the customer information system. Issues with unified scoring standards and low evaluation efficiency

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