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 ...
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 inputare most likely to contain a security vulnerability. Thesefunctions should be a small percentage of the ...
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 a security vulnerability. These functions should be a small percentage of ...
' Our hypothesis is that functions near a source of input are most likely to contain a security vulnerability. These functions should be a small percentage of ...
Characterizing the 'Security Vulnerability Likelihood' of Software Functions ; Author. Dan Dacosta, Christopher Dahn, Siros Mancoridis, Vassilis Prevelakis ...
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Assessing the risk of the likelihood of a vulnerability discovery is very important for decision-makers to prioritize which vulnerability.
Sep 30, 2019 · Automating the vulnerability characterization process is a step towards ensuring stakeholders have the necessary data to effectively maintain ...
We propose and evaluate a general framework for vulnerability severity classification using the term frequency-inverse gravity moment (TF-IGM).