This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Izzat Alsmadi is an Assistant Professor in the department of Computer Science at the University of New Haven. He has his master and PhD in Software Engineering from North Dakota State University. He has more than 100 conference and journal publications. His research interests include: Software security, software engineering, software testing, social networks and software defined networking.
Dr. George Karabatis is an Associate Professor of Information Systems and Associate Chair for Academic Affairs in the Department of Information Systems. He teaches undergraduate and graduate courses in semantic data integration, data management, data communications and networking, database applications, and mobile applications. He is one of the founding members of DINAMIC, a research group of IS faculty and students who pursue research in intelligent information discovery in various application domains. His research work has been published in peer-reviewed journals, conferenceproceedings and book chapters. He has been funded by NSF, USGS, MD Board of Elections, Northrop-Grumman and IGSR. He holds a Ph.D. in Computer Science from the University of Houston.
Dr. Ahmed AlEroud is an Assistant Professor of Computer Information Systems, at Yarmouk University in Jordan. He has recently joined UMBC as a Visiting Associate Research Scientist in the Department of Information Systems. Dr. AlEroud has received his PhD in Information Systems from the University of Maryland, Baltimore County (UMBC). His research appears in several cyber security and information systems conferences, such as the IEEE/ASE International conference in Cyber-Security, the IEEE conference on software Security and Reliability, and the International Conference on Semantic Computing. He has served as a committee member and a reviewer in some conferences in several areas such as the first International Conference on Anti-Cybercrime (ICACC-2015) and the entropy Journal. p>
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur becd86e0ace3e34400423490f382391c
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers. 392 pp. Englisch. N° de réf. du vendeur 9783319830230
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Helps readers understand how combining machine learning and reasoning techniques aids in creating attack prediction models with higher accuracyProvides information on utilizing several existing applications and tools to perform information fusion. N° de réf. du vendeur 458623371
Quantité disponible : Plus de 20 disponibles
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 389. N° de réf. du vendeur 26384308650
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 389. N° de réf. du vendeur 18384308640
Quantité disponible : 4 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Information Fusion for Cyber-Security Analytics | Izzat M Alsmadi (u. a.) | Taschenbuch | x | Englisch | 2018 | Springer | EAN 9783319830230 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 114227060
Quantité disponible : 5 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 392 pp. Englisch. N° de réf. du vendeur 9783319830230
Quantité disponible : 1 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 389. N° de réf. du vendeur 379562613
Quantité disponible : 4 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers. N° de réf. du vendeur 9783319830230
Quantité disponible : 1 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. reprint edition. 379 pages. 9.25x6.10x0.89 inches. In Stock. N° de réf. du vendeur __3319830236
Quantité disponible : 1 disponible(s)