Articles liés à Intrusion Detection: A Data Mining Approach
Synopsis
Chapter 1. Introduction.- Chapter 2. Discretization.- Chapter 3. Data Reduction.- Chapter 4. Q-Learning Classifiers.- Chapter 5. Hierarchical Q - Learning Classifier.- Chapter 6. Conclusions and Future Research.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Nandita Sengupta holds a Bachelor of Engineering degree from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, India (formerly known as Bengal Engineering College, Shibpur, Calcutta University). She completed a postgraduate management course in Information Technology at IMT, an M.Tech. (Information Technology) and Ph.D. in Engineering (Computer Science and Technology) at IIEST, Shibpur, India. She has worked in the field for 29 years, including 11 years in industry and 18 years teaching IT various subjects. She is currently an Associate Professor at the University College of Bahrain, Bahrain. Her areas of interest are analysis of algorithms, theory of computation, soft computing techniques, network computing and security.
Jaya Sil has been a Professor at the Department of Computer Science and Technology at the Indian Institute of Engineering Science and Technology, Shibpur, since 2003. She completed her B.E. in Electronics and Telecommunication Engineering at B.E. College, at Calcutta University, India, in 1984, and M.E. (Tele) at Jadavpur University, Kolkata, India, in 1986. She received her Ph.D. (Engg) degree in the field of artificial intelligence from Jadavpur University, Kolkata, in 1996, and started her teaching career in 1987 as a lecturer at the Department of Computer Science and Technology at B.E. College, Howrah. She worked as a Postdoctoral Fellow at Nanyang Technological University, Singapore, from 2002 to 2003. She undertook collaborative research in Husar at the Bioinformatics Lab, Heidelberg, Germany, and also visited Wroclaw University of Technology, Poland, in 2012. She was awarded an INSA Senior Scientist Fellowship. Prof. Sil has delivered tutorials and invited talks, and has also presented papers and chaired sessions at various international conferences in abroad and India. She has published more than 200 research papers (including conference papers) in the field of bioinformatics, machinelearning and image processing along with applications in a variety of engineering fields. She has published numerous books and several book chapters and acted as a reviewer for IEEE, Elsevier, and Springer Journals.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer Verlag, Singapore
- Date d'édition2020
- ISBN 10 9811527156
- ISBN 13 9789811527159
- ReliureRelié
- Langueanglais
- Nombre de pages136
- Coordonnées du fabricantnon disponible
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Intrusion Detection. A Data Mining Approach.
Edité par
Singapore, Springer., 2020
ISBN 10 : 9811527156
ISBN 13 : 9789811527159
Ancien ou d'occasion
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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. N° de réf. du vendeur 8902GB
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Intrusion Detection: A Data Mining Approach
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Springer Nature Singapore, 2020
ISBN 10 : 9811527156
ISBN 13 : 9789811527159
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Etat : 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. N° de réf. du vendeur 339943858
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Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics)
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Intrusion Detection
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Springer Nature Singapore Jan 2020, 2020
ISBN 10 : 9811527156
ISBN 13 : 9789811527159
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9789811527159
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Intrusion Detection
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Springer Nature Singapore, Springer Nature Singapore Jan 2020, 2020
ISBN 10 : 9811527156
ISBN 13 : 9789811527159
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch. N° de réf. du vendeur 9789811527159
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Intrusion Detection : A Data Mining Approach
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10 : 9811527156
ISBN 13 : 9789811527159
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9789811527159
Quantité disponible : 1 disponible(s)
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Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics)
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Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics)
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Etat : New. N° de réf. du vendeur ABLIING23Apr0412070088407
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Intrusion Detection: A Data Mining Approach
Edité par
Springer-Nature New York Inc, 2020
ISBN 10 : 9811527156
ISBN 13 : 9789811527159
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Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 156 pages. 9.25x6.10x9.21 inches. In Stock. N° de réf. du vendeur x-9811527156
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