9783847338321 - recent trends in intrusion detection system & network monitoring: a statistical modeling approach 3-tier network intrusion detection model (3-t nidm) di khan, m. sadiq ali; burney, s. m. aqil (4 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 43,35
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Taschenbuch. Condizione: Neu. Recent Trends in Intrusion Detection System & Network Monitoring | A Statistical Modeling Approach 3-Tier Network Intrusion Detection Model (3-T NIDM) | M. Sadiq Ali Khan (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783847338321 | Verantwortliche Person für die EU: preig…u GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan M. Sadiq AliM.Sadiq Ali Khan is Assistant Professor at Department of Computer Science University of Karachi.He has done his Ph.D in Computer Science with specialization in… Network Security. He has 12 years of teaching and resea.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the age of information and communication technology, network models centralized or distributed systems are the good way to connect the user with a single platform.However,when such model and systems are implemented, different types o…f threat from system surrounding and from the boundary of a system are faced.Therefore we need to introduce new methods and techniques to avoid the threat faced by the systems.In this book we proposed new multi-tier techniques including soft computing, stochastic, hardware implementation and statistical approaches to avoid and minimize the attacks which affect the performance of network model partially or completely. Our proposed method generates a less false positive rate that increase the detection efficiency by reducing the workload and that increase the overall performance of an IDS. The proposed Network Intrusion Detection System is capable of addressing many real issues in network security. To minimize the error rates Finite State Machine model is proposed for the IDS. An efficient user friendly application can be developed based on the proposed system and containing models as per user need.
