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.
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She is a PhD candidate in Software Engineering at the Yazd University, Yazd, Iran. She has obtained her B.S. in Software Engineering from Emam Reza University, Mashhad, Iran and her M.S in Software Engineering from Shiraz University, Shiraz, Iran. Her research interests include Security and Natural Language Processing.
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Taschenbuch. Zustand: Neu. Exploit Prediction and Vulnerability Clustering Using Text Mining | Atefeh Khazaei Ghoujdi | Taschenbuch | 92 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659492778 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Artikel-Nr. 105540402
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