Research on Reduced Optimization of Illegal Access Information in Database Internal and External Net- work
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DOI

10.26689/jera.v1i1.27

Submitted : 2024-03-28
Accepted : 2024-04-12
Published : 2024-04-27

Abstract

The research on the optimization of the illegal access to the database inside and outside the network can effectively improve the security of the network database. Accurate reduction of illegal access to information, the need for accurate collection of known data, and its repeated nuclear iteration, so that the known access to a linear distribution of data to complete the information to restore. The traditional method of data mining into the access to the data filtering process, but the processing of information data linearity difference, resulting in the reduction effect is notgood. Proposed multi-core composite internal and external network illegal access to information collection and accurate reduction method. Set the illegal information collection interval to calculate the address of the database illegal access to information, the use of SSL encryption mechanism to encrypt the information collected, the same type of illegal access to information in the known data for repeated nuclear iteration, to promote similar illegal The access information is linearly distributed in the super-high-dimensional Euclidean space, and the regression equation is integrated into the KRR to complete the illegal access infor- mation acquisition and accurate reduction.The simulation results show that the proposed method has strong robustness and can improve the security of the internal and external network information.