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ESEM
2008
ACM
13 years 6 months ago
An empirical model to predict security vulnerabilities using code complexity metrics
Complexity is often hypothesized to be the enemy of software security. If this hypothesis is true, complexity metrics may be used to predict the locale of security problems and ca...
Yonghee Shin, Laurie Williams
ICST
2010
IEEE
13 years 2 months ago
Searching for a Needle in a Haystack: Predicting Security Vulnerabilities for Windows Vista
—Many factors are believed to increase the vulnerability of software system; for example, the more widely deployed or popular is a software system the more likely it is to be att...
Thomas Zimmermann, Nachiappan Nagappan, Laurie A. ...
IPPS
2007
IEEE
13 years 10 months ago
Security Threat Prediction in a Local Area Network Using Statistical Model
In today’s large and complex network scenario vulnerability scanners play a major role from security perspective by proactively identifying the known security problems or vulner...
Somak Bhattacharya, S. K. Ghosh
CCS
2008
ACM
13 years 6 months ago
Is complexity really the enemy of software security?
Software complexity is often hypothesized to be the enemy of software security. We performed statistical analysis on nine code complexity metrics from the JavaScript Engine in the...
Yonghee Shin, Laurie Williams
ESEM
2010
ACM
13 years 2 months ago
Strengthening the empirical analysis of the relationship between Linus' Law and software security
Open source software is often considered to be secure because large developer communities can be leveraged to find and fix security vulnerabilities. Eric Raymond states Linus’ L...
Andrew Meneely, Laurie A. Williams