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  4. Vol 9, Issue 1, 2025

Research on Computer Network Virus Defense Method Based on Data Mining Technology

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DOI: 10.23977/cpcs.2025.090105 | Downloads: 7 | Views: 455

Author(s)

Wang Zeding 1

Affiliation(s)

1 North China Electric Power University, Baoding, Hebei, China

Corresponding Author

Wang Zeding

ABSTRACT

With the rapid development of computer network technology, virus attack methods are becoming increasingly complex and concealed, and traditional defense methods relying on signature database matching have difficulty coping with unknown threats. Data mining technology, with its powerful data processing and pattern discovery capabilities, provides new ideas for network virus defense. By analyzing massive amounts of data such as network traffic and system logs, the potential patterns of virus behavior can be mined, and dynamic detection models can be constructed to achieve a transformation from passive response to active defense. The research combines classification, clustering, and association rule algorithms to explore key technologies for virus feature extraction and behavior prediction, aiming to break through the limitations of traditional methods, improve detection efficiency and accuracy, and lay a foundation for building an intelligent and adaptive network security system.

KEYWORDS

Data Mining Technology; Computer Network Viruses; Defense Methods

CITE THIS PAPER

Wang Zeding, Research on Computer Network Virus Defense Method Based on Data Mining Technology. Computing, Performance and Communication Systems (2025) Vol. 9: 30-35. DOI: http://dx.doi.org/10.23977/cpcs.2025.090105.

REFERENCES

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[7] Jingzi D, Xuangong L .Design and Implementation of Network Virus Defense System Based on Data Mining Technology[J].China Computer & Communication, 2018:13-15.

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