TITLE: 
                        
                            Quantitative Security Evaluation for Software System from Vulnerability Database
                                
                                
                                    AUTHORS: 
                                            Hiroyuki Okamura, Masataka Tokuzane, Tadashi Dohi 
                                                    
                                                        KEYWORDS: 
                        Quantitative Security Evaluation; Vulnerability Database; Non-Homogeneous Poisson Process, Contents Management System 
                                                    
                                                    
                                                        JOURNAL NAME: 
                        Journal of Software Engineering and Applications,  
                        Vol.6 No.4A, 
                        April
                                                        23,
                        2013
                                                    
                                                    
                                                        ABSTRACT: 
	This paper proposes a quantitative
security evaluation for software system from the vulnerability data consisting
of discovery date, solution date and exploit publish date based on a stochastic
model. More precisely, our model considers a vulnerability life-cycle model and represents the vulnerability
discovery process as a non-homogeneous Poisson process. In a numerical example,
we show the quantitative measures for contents management system of an open
source project.