Sinossi
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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L'autore
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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Exploit Prediction and Vulnerability Clustering Using Text Mining
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LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 92 pp. Englisch. Codice articolo 9783659492778
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Exploit Prediction and Vulnerability Clustering Using Text Mining
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khazaei Ghoujdi AtefehShe 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 f. Codice articolo 5159734
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Exploit Prediction and Vulnerability Clustering Using Text Mining
Editore:
LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Codice articolo 9783659492778
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Exploit Prediction and Vulnerability Clustering Using Text Mining
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783659492778
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Exploit Prediction and Vulnerability Clustering Using Text Mining
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LAP LAMBERT Academic Publishing, 2013
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ISBN 13: 9783659492778
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Taschenbuch. Condizione: 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 Print on Demand. Codice articolo 105540402
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