Construction of a Security Vulnerability Identification System Based on Machine Learning
Joint Authors
Xu, Jing
Shi, Kebin
Dai, Yonghui
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In recent years, the frequent outbreak of information security incidents caused by information security vulnerabilities has brought huge losses to countries and enterprises.
Therefore, the research related to information security vulnerability has attracted many scholars, especially the research on the identification of information security vulnerabilities.
Although some organizations have established information description databases for information security vulnerabilities, the differences in their descriptions and understandings of vulnerabilities have increased the difficulty of information security precautions.
This paper studies the construction of a security vulnerability identification system, summarizes the system requirements, and establishes a vulnerability text classifier based on machine learning.
It introduces the word segmentation, feature extraction, classification, and verification processing of vulnerability description text.
The contribution of this paper is mainly in two aspects: One is to standardize the unified description of vulnerability information, which lays a solid foundation for vulnerability analysis.
The other is to explore the research methods of a vulnerability identification system for information security and establish a vulnerability text classifier based on machine learning, which can provide reference for the research of similar systems in the future.
American Psychological Association (APA)
Shi, Kebin& Dai, Yonghui& Xu, Jing. 2020. Construction of a Security Vulnerability Identification System Based on Machine Learning. Journal of Sensors،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1190523
Modern Language Association (MLA)
Shi, Kebin…[et al.]. Construction of a Security Vulnerability Identification System Based on Machine Learning. Journal of Sensors No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1190523
American Medical Association (AMA)
Shi, Kebin& Dai, Yonghui& Xu, Jing. Construction of a Security Vulnerability Identification System Based on Machine Learning. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1190523
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190523