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_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996 |
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| 003 | ES-MaUEC | ||
| 005 | 20230102113048.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 180307s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319758688 | ||
| 024 | 7 |
_a10.1007/978-3-319-75868-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTK5103.4815 _b2018 EB |
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| 100 | 1 |
_aHe, Xiaofan _eautor _9673016 |
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| 245 | 1 | 0 |
_aAdversary Detection For Cognitive Radio Networks _cby Xiaofan He, Huaiyu Dai |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
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| 300 | _a1 recurso en línea (X, 74 páginas) | ||
| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8112 |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 520 | 3 | _aThis SpringerBrief provides a comprehensive study of the unique security threats to cognitive radio (CR) networks and a systematic investigation of the state-of-the-art in the corresponding adversary detection problems. In addition, detailed discussions of the underlying fundamental analytical tools and engineering methodologies of these adversary detection techniques are provided, considering that many of them are quite general and have been widely employed in many other related fields. The exposition of this book starts from a brief introduction of the CR technology and spectrum sensing in Chapter 1. This is followed by an overview of the relevant security vulnerabilities and a detailed discussion of two security threats unique to CR networks, namely, the primary user emulation (PUE) attack and the Byzantine attack. To better prepare the reader for the discussions in later chapters, preliminaries of analytic tools related to adversary detection are introduced in Chapter 2. In Chapter 3, a suite of cutting-edge adversary detection techniques tailor-designed against the PUE and the Byzantine attacks are reviewed to provide a clear overview 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 techniques against the Byzantine attack. Concluding remarks and outlooks for future research are provided in Chapter 7. The primary audience for this SpringerBrief include network engineers interested in addressing adversary detection issues in cognitive radio networks, researchers interested in the state-of-the-art on unique security threats to cognitive radio networks and the corresponding detection mechanisms. Also, graduate and undergraduate students interested in obtaining comprehensive information on adversary detection in cognitive radio networks and applying the underlying techniques to address relevant research problems can use this SpringerBrief as a study guide. . | |
| 988 | _aEBSPRINGER_2018 | ||
| 650 | 7 |
_2embne _aSistemas de comunicación inalámbricos _9158044 |
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| 700 | 1 |
_aDai, Huaiyu. _eautor |
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| 776 | 0 | 8 |
_iEdición impresa: _z9783319758671 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319758695 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-75868-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b04/2020 _dz _ek _zSI |
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