Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139896622 ISBN 13: 9786139896622
Librería: Revaluation Books, Exeter, Reino Unido
EUR 97,17
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2018
ISBN 10: 6139896622 ISBN 13: 9786139896622
Librería: preigu, Osnabrück, Alemania
EUR 47,85
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Intrusion Detection System Using SPARK'S Machine Learning Library | Secure your network | Pradeep Laxkar (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9786139896622 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139896622 ISBN 13: 9786139896622
Librería: moluna, Greven, Alemania
EUR 46,15
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Laxkar PradeepDr Pradeep Laxkar is working as associate professor and Head of Department of Computer Engineering at ITM Universe Vadodara. He is having 13 years of academic experience and his area of interest is information security.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2018
ISBN 10: 6139896622 ISBN 13: 9786139896622
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 55,56
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Now a day's computer network security problems play a pivotal role. The network is vulnerable towards attacks like DOS, U2R, R2L etc. These attacks take advantage of a network vulnerability to gain illegal access to important information or sometimes create a flood to prevent genuine users from accessing it. Network attackers use massive volume of network traffic in short span of time to create a victim host unavailable whereby a fast and efficient network intrusion detection is a very challenging issue. The size of network traffic has turned into increasingly big and complex and the proposed intrusion detection system should be able to process huge size of network data in order to detect intrusion in the network as early as possible. This book entails the implementation of network intrusion detection system using association rule generation and quadric classification using machine learning library of spark.