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Exploit Prediction and Vulnerability Clustering Using Text Mining - Atefeh Khazaei Ghoujdi

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2013-12-04
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Software vulnerabilities can lead to monetary and information losses. Moreover, detecting vulnerability is very resource intensive. Due to limited human and financial resources, prioritization of vulnerabilities is a crucial task. Very little attention has been paid to textual information hidden in vulnerabilities databases like CVE and OSVDB. This research explores how to use from the information hidden in ... Visas aprašymas

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Aprašymas

Software vulnerabilities can lead to monetary and information losses. Moreover, detecting vulnerability is very resource intensive. Due to limited human and financial resources, prioritization of vulnerabilities is a crucial task. Very little attention has been paid to textual information hidden in vulnerabilities databases like CVE and OSVDB. This research explores how to use from the information hidden in these texts to vulnerability prediction and clustering.

Daugiau informacijos

Autorius Atefeh Khazaei Ghoujdi
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2013
Viršelio tipas Minkšti viršeliai
EAN 9783659492778
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56,04 € 86,21 €