Intrusion Detection System Using by Laxkar Pradeep (4 results)

- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 82.32
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Paperback. Condition: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.

- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: 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.

- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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£ 40.64
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Condition: 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 in…terest is information security.

- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 48.93
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Taschenbuch. Condition: 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.