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Sinopsis
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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Reseña del editor
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
Publicado por
LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659492778
Cantidad disponible: 2 disponibles
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Exploit Prediction and Vulnerability Clustering Using Text Mining
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 5159734
Cantidad disponible: Más de 20 disponibles
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Exploit Prediction and Vulnerability Clustering Using Text Mining
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659492778
Cantidad disponible: 1 disponibles
Imagen del vendedor
Exploit Prediction and Vulnerability Clustering Using Text Mining
Publicado por
LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659492779
ISBN 13: 9783659492778
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659492778
Cantidad disponible: 1 disponibles