Isbn: 9783319758671 - adversary detection for cognitive radio networks (springerbriefs in electrical and computer engineering) (4 Ergebnisse)

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Paperback. Zustand: Brand New. 84 pages. 9.25x6.10x0.47 inches. In Stock.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This SpringerBrief provides a comprehensive study of the uniquesecurity threats to cognitive radio (CR) networks and a systematicinvestigation of the state-of-the-art in the corresponding adversarydetection problems. In addition, detailed discussions of the underlyingfundamental analytical tools and engineering methodologies of theseadversary detection techniques are provided, considering that many ofthem are quite general and have been widely employed in many otherrelated fields.The exposition of this book starts from a brief introduction ofthe CR technology and spectrum sensing in Chapter 1. This is followed by anoverview of the relevant security vulnerabilities and a detailed discussionof two security threats unique to CR networks, namely, the primary useremulation (PUE) attack and the Byzantine attack.To better prepare the reader for the discussions in later chapters, preliminaries of analytic toolsrelated to adversary detection are introduced in Chapter 2. In Chapter 3, asuite of cutting-edge adversary detection techniques tailor-designedagainst the PUE and the Byzantine attacks are reviewed to provide a clearoverview of existing research in this field.More detailed case studies are presented in Chapters 4 - 6. Specifically,a physical-layer based PUE attack detection scheme is presented in Chapter 4,while Chapters 5 and 6 are devoted to the illustration of two novel detection techniquesagainst the Byzantine attack. Concluding remarks and outlooks for future research areprovided in Chapter 7.The primary audience for this SpringerBrief include network engineers interested inaddressing adversary detection issues in cognitive radio networks, researchers interested in the state-of-the-art on unique security threats tocognitive radio networks and the corresponding detection mechanisms. Also,graduate and undergraduate students interested in obtainingcomprehensive information on adversary detection in cognitive radionetworks and applying the underlying techniques to address relevantresearch problems can use this SpringerBrief as a study guide.…