Characterizing the 'security vulnerability likelihood' of software ...
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Our hypothesis is that functions near a source of input are most likely to contain security vulnerability. These functions should be a small percentage of the ...
Software maintainers and auditors would benefit from a tool to help them focus their attention on functions that are likely to be the source of security ...
Our hypothesis is that functions near a source of input are most likely to contain security vulnerability. These functions should be a small percentage of the ...
'Our hypothesis is that functions near a source of inputare most likely to contain a security vulnerability. Thesefunctions should be a small percentage of the ...
Characterizing the 'Security Vulnerability Likelihood' of Software Functions ; Author. Dan Dacosta, Christopher Dahn, Siros Mancoridis, Vassilis Prevelakis ...
In this study, we propose using Time to Vulnerability Disclosure (TTVD) as a proxy for assessing the likelihood of vulnerability discovery. We will then ...
Mar 12, 2022 · We take the first step towards characterizing and understanding the security vulnerabilities of five well-known ML libraries.
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Assessing the risk presented by a software vulnerability is very important for decision-makers (testers, developers, managers, buyers, security vendors, and ...
Abstract—To build secure software, developers often work together during software development and maintenance to find, fix, and prevent security ...
Oct 22, 2024 · In this work we examine the feasibility of quantitatively characterizing some aspects of security. In particular, we investigate if it is possible to predict ...