| 000 | 01654nam a22001937a 4500 | ||
|---|---|---|---|
| 008 | 250910b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781119783916 (hbk) | ||
| 050 |
_aTK5105.59 _b.X87 2023 |
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| 100 | _aXu, Shengjie (Professor) | ||
| 245 |
_aCybersecurity in Intelligent Networking Systems / _cShengjie Xu, Yi Qian, Rose Qingyang Hu. |
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| 250 | _aThis edition first published 2023. | ||
| 260 |
_aHoboken: _aChichester: _bJohn Wiley & Sons, _c2023. |
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| 300 |
_axvi, 128 Pages; _c23 cm. |
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| 520 | _a"Data-driven network intelligence is an important revolution of the intelligent networking systems. Many well-established and cutting-edge edge network communications, artificial intelligence (AI), and cyber security technologies are applied into edge network to achieve a ?smart? and efficient data communication. In recent years, intelligent networking system has attracted more and more attention from industry, research, and academia. There is a need for a comprehensive book to investigate and summarize the recent advances in AI, cyber security, and edge network communications. This book will serve the purpose to investigate technologies, applications and issues in data-driven cyber infrastructure. Data-driven Network Intelligence for Cyber Security describes data-driven network intelligence for anomaly detection and information privacy. It covers a proposed novel data-driven network intelligence system, and further presents the edge computing empowered network intelligence." | ||
| 650 |
_aComputer Networks _xSecurity Measures. |
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| 700 |
_aQian, Yi, _d1962- _eAuthor. |
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| 700 |
_aHu, Rose Qingyang, _eAuthor. |
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| 942 |
_2lcc _cBK |
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| 999 |
_c7124 _d7124 |
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