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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 these texts to vulnerability prediction and clustering.
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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 these texts to vulnerability prediction and clustering.
Biografía del autor
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, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
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Zustand: 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. Bestandsnummer des Verkäufers 5159734
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Exploit Prediction and Vulnerability Clustering Using Text Mining
Verlag:
LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659492778
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Exploit Prediction and Vulnerability Clustering Using Text Mining
Verlag:
LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
Neu
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659492778
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Exploit Prediction and Vulnerability Clustering Using Text Mining
Verlag:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659492778
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