Support vector machine electrical network intrusion detection system and method based on feature selection

Abstract

The invention discloses a support vector machine electrical network intrusion detection system and method based on feature selection. The system comprises an intrusion information database, a data preprocessing module and a data analysis module, wherein the intrusion information database, the data preprocessing module and the data analysis module are connected through network equipment; the intrusion information database is used for storing intrusion information data packets; the data preprocessing module comprises a data filling module and a data normalization module; the data filling moduleand the data normalization module are in communication connection through a data bus; the data analysis module comprises a feature selection module and a support vector machine detection module; the feature selection module and the support vector machine detection module are in communication connection through a data bus. Missing value filling, normalization, feature selection and intrusion behavior detection are carried out on network data to achieve the purposes of high detection of the network data and more accurate judgment of the smart power grid.

Description

technical field [0001] The invention relates to the field of power grids, in particular to a feature selection-based support vector machine power grid intrusion detection system and method. Background technique [0002] Smart grid is an interdisciplinary subject that integrates electrical engineering, computer technology, and communication technology. The introduction of communication technology has greatly improved the performance and reliability of the cloud grid system. On the other hand, the smart grid may encounter the threat of attacks from the unknown network world, especially the smart meter recording instruments connected to the inside of the grid system. Due to the lack of suitable protection measures, there are many difficulties in the deployment and operation of smart grid. [0003] Security measures such as traditional cryptography and security protocols can guarantee the data security of devices such as smart meters to a certain extent, but there is still the ...

AI Technical Summary

Problems solved by technology

[0004] Although IDS solves the possibility of smart grid being attacked to a certain extent, there are a large number of invalid characteristic data missing in the data traffic from unknown networks.

There is no linear relationship between the number of features and the detection algorithm. When the number of features exceeds a certain limit, the accuracy of the detection algorithm will deteriorate.

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