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Design of Information Security Access System in the Power Grid Based on Improved Bayesian Algorithm

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Abstract

Aiming at the problems existing in the traditional power grid information security access system, such as poor data processing timeliness, low recall rate and low information filtering accuracy, a power grid information security access system based on improved Bayesian algorithm is proposed. In the part of hardware design, the data source layer, data acquisition layer, data access layer, data storage layer, bus layer, application support layer and application layer are designed from bottom to top according to the idea of layered design, and the application support suite and main function modules of the system are developed. In the part of software design, the traditional Bayesian algorithm is improved, and the improved algorithm is used to construct the internal information filter of the power grid, which is applied in the information security access system to realize the security access of the internal information of the power grid. The experimental results show that compared with the traditional system, the information security access system based on improved Bayesian algorithm has better data processing timeliness, higher recall rate and higher information filtering accuracy, and its application advantages are more obvious.

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Abbreviations

FPGA:

Field programmable gate array

A/D:

Analog to digital converter

NAND:

NAND flash memory

IO:

Input/Output

RDY:

Ready

SCADA:

Supervisory control and data acquisition

MVC:

Model view controller

JSP:

JavaServer Pages

ACTS:

Ability and competence test system

B/S:

Browser/Server

C/S:

Client-Server

WEB:

World Wide Web

mAP:

Mean average precision

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Acknowledgements

This research was supported by information physical security theory and active defense technology for intelligent grid (Project No. 61833015).

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Correspondence to Qiang Wei.

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Liu, W., Wu, H., Yu, F. et al. Design of Information Security Access System in the Power Grid Based on Improved Bayesian Algorithm. Wireless Pers Commun 127, 543–559 (2022). https://doi.org/10.1007/s11277-021-08346-x

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