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001 | 978-3-319-75868-8 | ||
003 | DE-He213 | ||
005 | 20220801220916.0 | ||
007 | cr nn 008mamaa | ||
008 | 180307s2018 sz | s |||| 0|eng d | ||
020 |
_a9783319758688 _9978-3-319-75868-8 |
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024 | 7 |
_a10.1007/978-3-319-75868-8 _2doi |
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_a621.382 _223 |
100 | 1 |
_aHe, Xiaofan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953047 |
|
245 | 1 | 0 |
_aAdversary Detection For Cognitive Radio Networks _h[electronic resource] / _cby Xiaofan He, Huaiyu Dai. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aX, 74 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8120 |
|
520 | _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. . | ||
650 | 0 |
_aTelecommunication. _910437 |
|
650 | 0 |
_aData protection. _97245 |
|
650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
650 | 2 | 4 |
_aData and Information Security. _931990 |
700 | 1 |
_aDai, Huaiyu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953048 |
|
710 | 2 |
_aSpringerLink (Online service) _953049 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319758671 |
776 | 0 | 8 |
_iPrinted edition: _z9783319758695 |
830 | 0 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8120 _953050 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-75868-8 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c79073 _d79073 |