Defense of Computer Network Viruses Based on Data Mining Technology

Cen Zuo

《International Journal of Network Security》 20卷4期 (2018/07) Pp. 805-810

https://doi.org/10.6633/IJNS.201807_20(4).23

摘要

Computer network has great influence on people's work and life. Enterprise information, personal information and even national information are stored in computers. Therefore, computer network security has become a problem that cannot be ignored. The biggest threat to computer network security is computer network virus. To cope with the invasion of different viruses, this study analyzed the characteristics of network viruses and designed computer data mining module by combining data mining technology with dynamic behavioral intercept technique to mine hidden information and determine whether there was virus. The method was applied in the detection of Trojan horse virus on network. The efficacy of defense of Trojan horse viruses was tested through indexes including false alarm rate, accuracy rate, omission rate and information gain value extracted based on API characteristics. The detection suggests that data mining technology is useful in the defense of computer network viruses and has a favorable development prospect.

關鍵字

Computer Network ； Data Mining Technology ； Virus