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Sinopsis
This work will be useful for research purpose in applying data mining approach in security information event management system. In our project, we implemented Mining algorithm that correlates logs to give insight of Security. We can create intelligence in network security through machine learning algorithm. Recent survey indicate that internet of things will be most prominent technology. Our approach can be extent to IoT Security analysis. Currently we are doing research on IoT security.
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Reseña del editor
This work will be useful for research purpose in applying data mining approach in security information event management system. In our project, we implemented Mining algorithm that correlates logs to give insight of Security. We can create intelligence in network security through machine learning algorithm. Recent survey indicate that internet of things will be most prominent technology. Our approach can be extent to IoT Security analysis. Currently we are doing research on IoT security.
Biografía del autor
Mrs. Anita Chaudhari,Working as Head of Department of Information Technology Department ,in St.John College of Engineering & management. Complete Masters of Engineering from Mumbai University with Distinction.Published more than 12 research paper in International Journal.
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Data mining approach in Security Information & Event Management
Publicado por
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202023341
ISBN 13: 9786202023344
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 -This work will be useful for research purpose in applying data mining approach in security information event management system. In our project, we implemented Mining algorithm that correlates logs to give insight of Security. We can create intelligence in network security through machine learning algorithm. Recent survey indicate that internet of things will be most prominent technology. Our approach can be extent to IoT Security analysis. Currently we are doing research on IoT security. 100 pp. Englisch. Nº de ref. del artículo: 9786202023344
Cantidad disponible: 2 disponibles
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Data mining approach in Security Information & Event Management
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341
ISBN 13: 9786202023344
Nuevo
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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: Chaudhari AnitaMrs. Anita Chaudhari,Working as Head of Department of Information Technology Department ,in St.John College of Engineering & management. Complete Masters of Engineering from Mumbai University with Distinction.Published. Nº de ref. del artículo: 385901832
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Data mining approach in Security Information & Event Management
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341
ISBN 13: 9786202023344
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 - This work will be useful for research purpose in applying data mining approach in security information event management system. In our project, we implemented Mining algorithm that correlates logs to give insight of Security. We can create intelligence in network security through machine learning algorithm. Recent survey indicate that internet of things will be most prominent technology. Our approach can be extent to IoT Security analysis. Currently we are doing research on IoT security. Nº de ref. del artículo: 9786202023344
Cantidad disponible: 1 disponibles
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Data mining approach in Security Information Event Management
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341
ISBN 13: 9786202023344
Nuevo
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 26402383875
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Data mining approach in Security Information Event Management
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341
ISBN 13: 9786202023344
Nuevo
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Librería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand. Nº de ref. del artículo: 395074524
Cantidad disponible: 4 disponibles
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Data mining approach in Security Information & Event Management
Publicado por
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202023341
ISBN 13: 9786202023344
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This work will be useful for research purpose in applying data mining approach in security information event management system. In our project, we implemented Mining algorithm that correlates logs to give insight of Security. We can create intelligence in network security through machine learning algorithm. Recent survey indicate that internet of things will be most prominent technology. Our approach can be extent to IoT Security analysis. Currently we are doing research on IoT security.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. Nº de ref. del artículo: 9786202023344
Cantidad disponible: 2 disponibles
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Data mining approach in Security Information Event Management
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341
ISBN 13: 9786202023344
Nuevo
Tapa blanda
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18402383881
Cantidad disponible: 4 disponibles
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Data mining approach in Security Information & Event Management
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341
ISBN 13: 9786202023344
Nuevo
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Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock. Nº de ref. del artículo: zk6202023341
Cantidad disponible: 1 disponibles