Automatic Classification of Computer Vulnerability Based on[S-C]Feature Extraction

Automatic Classification of Computer Vulnerability Based on[S-C]Feature Extraction

In recent years, the number of unknown computer vulnerabilities has increased rapidly. It is an important and unsolved problem for analyzing and classifying a large number of vulnerability data timely and accurately. Therefore, this paper proposes a text classification method for computer vulnerabil...

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Bibliographic Details
Main Author: REN Jiadong, WANG Qian, WANG Fei, LI Yazhou, LIU Jiaxin
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-07-01
Series:Jisuanji kexue yu tansuo
Subjects:
computer vulnerability
text classification
feature extraction
information entropy
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2266.shtml

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