Research of Vulnerability-Patch Associated Repair Model Based on SVM

Author

He, Lin ; Gao, Ling ; Chen, Dongqi ; Wang, Ruyi

Author_Institution

Dept. of Comput. Sci. & Technol., Northwest Univ., Xi´´an, China

fYear

2011

fDate

4-6 Nov. 2011

Firstpage

356

Lastpage

360

Abstract

This paper explores from the security problems about whether fix patches and selective repair of the vulnerabilities, which takes computer vulnerabilities and patches associated into comprehensive consideration. Through selecting some key factors as attributes vectors, I propose the selective vulnerability - patch associated repair model by using support vector machine (SVM) classification method in data mining, and use the Matlab to implement the simulation experiment.

Keywords

computer maintenance; data mining; pattern classification; security of data; software maintenance; support vector machines; Matlab; SVM; attributes vector; comprehensive consideration; computer vulnerability; data mining; security problem; selective repair; support vector machine classification method; vulnerability-patch associated repair model; Data models; Kernel; Maintenance engineering; Mathematical model; Support vector machines; Training; LIBSVM; Support Vector Machine (SVM); the quality of patch; vulnerability;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Information Networking and Security (MINES), 2011 Third International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4577-1795-6

Type

conf

DOI

10.1109/MINES.2011.29

Filename

6103790