Title
Bayesian-model averaging using MCMCBayes for web-browser vulnerability discovery.
Abstract
•Describes vulnerability discovery phenomenon in the software security lifecycle.•Presents 46 software release (SR) and security assessment profile (SAP) variables.•Elicits dataset using Cooke's method; gathers empirical web-browser datasets.•Details Bayesian analysis of vulnerability discovery modeling (VDM) techniques.•Demonstrates new, non-parametric and Bayesian model average (BMA) VDM techniques.
Year
DOI
Venue
2019
10.1016/j.ress.2018.11.030
Reliability Engineering & System Safety
Keywords
Field
DocType
Regression,Growth curve,Poisson process,Gamma process,Cooke's method
Data science,Bayesian inference,Regression analysis,Exploit,Software,Vulnerability discovery,Engineering,Malware,Reliability engineering,Vulnerability,Bayesian probability
Journal
Volume
ISSN
Citations 
183
0951-8320
0
PageRank 
References 
Authors
0.34
22
5
Name
Order
Citations
PageRank
Reuben Johnston120.69
Shahryar Sarkani2144.70
Thomas A. Mazzuchi323636.86
Thomas Holzer4145.38
Timothy Eveleigh5245.27