Title :
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
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;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2011 Third International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-1795-6
DOI :
10.1109/MINES.2011.29
