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Research on the Application of Data Mining Technology in Computer Network Virus Defense
Author(s) -
Huichuan Liu,
Dan Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/2/022095
Subject(s) - computer virus , computer science , computer security , anti virus , virus , network security , virology , biology
At present, the network virus defense is facing a more severe form, especially the emergence of various network viruses, which leads to the emergence of network security incidents in an endless stream, causing more serious damage and loss to related industries and fields. The traditional network virus defense measures have some defects, such as information lag, data update slow and backward technology, which have been difficult to deal with the real virus threat. Based on this, this paper first analyses the utilization status and advantages of data mining tech, then studies the utilization of network virus defense based on data mining, and finally gives the specific development strategy of data mining tech of computer network virus defense.

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