Items related to Intrusion Detection: A Data Mining Approach (Cognitive...
- PublisherSpringer
- Publication date2020
- ISBN 10 9811527156
- ISBN 13 9789811527159
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages156
Search results for Intrusion Detection: A Data Mining Approach (Cognitive...
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Intrusion Detection. A Data Mining Approach.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Seller rating 5 out of 5 stars
XX, 136 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Cognitive Intelligence and Robotics. Sprache: Englisch. Seller Inventory # 8902GB
Quantity: 4 available
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Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condition: New. Seller Inventory # ABLIING23Apr0412070088407
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Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. In. Seller Inventory # ria9789811527159_new
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Intrusion Detection
Published by
Springer Nature Singapore Jan 2020, 2020
ISBN 10: 9811527156
ISBN 13: 9789811527159
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm. Reinforcement learning is employed to incrementally learn the computer network behavior, while rough and fuzzy sets are utilized to handle the uncertainty involved in the detection of traffic anomaly to secure data resources from possible attack. Genetic algorithms make it possible to optimally select the network traffic parameters to reduce the risk of network intrusion. The book is unique in terms of its content, organization, and writing style. Primarily intended for graduate electrical and computer engineering students, it is also useful for doctoral students pursuing research in intrusion detection and practitioners interested in network security and administration. The book covers a wide range of applications, from general computer security to server, network, and cloud security. 156 pp. Englisch. Seller Inventory # 9789811527159
Quantity: 2 available
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Intrusion Detection: A Data Mining Approach
Published by
Springer Nature Singapore, 2020
ISBN 10: 9811527156
ISBN 13: 9789811527159
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Details dimension reduction techniques, which reduce the complexity of intrusion detection systems without sacrificing prediction accuracy Sheds new light on real-time design of adaptive intrusion detection systemsIncludes a spec. Seller Inventory # 339943858
Quantity: Over 20 available
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Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics)
Seller: California Books, Miami, FL, U.S.A.
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Condition: New. Seller Inventory # I-9789811527159
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Intrusion Detection : A Data Mining Approach
Published by
Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811527156
ISBN 13: 9789811527159
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm. Reinforcement learning is employed to incrementally learn the computer network behavior, while rough and fuzzy sets are utilized to handle the uncertainty involved in the detection of traffic anomaly to secure data resources from possible attack. Genetic algorithms make it possible to optimally select the network traffic parameters to reduce the risk of network intrusion. The book is unique in terms of its content, organization, and writing style. Primarily intended for graduate electrical and computer engineering students, it is also useful for doctoral students pursuing research in intrusion detection and practitioners interested in network security and administration. The book covers a wide range of applications, from general computer security to server, network, and cloud security. Seller Inventory # 9789811527159
Quantity: 1 available
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Intrusion Detection: A Data Mining Approach
Published by
Springer-Nature New York Inc, 2020
ISBN 10: 9811527156
ISBN 13: 9789811527159
New
Hardcover
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 156 pages. 9.25x6.10x9.21 inches. In Stock. Seller Inventory # x-9811527156
Quantity: 2 available