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| 008 | 220201s2022 sz | s |1|| 0|eng d | ||
| 020 | _a9783030959180 | ||
| 024 | 7 |
_a10.1007/978-3-030-95918-0 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQA76.9.A2 _b2022 EB |
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_aTK5105.8855 _b2022 EB |
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| 245 | 0 | 0 |
_aProceedings of the International Conference on Applied CyberSecurity (ACS) 2021 _cedited by Hani Ragab Hassen, Hadj Batatia |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
|
| 300 |
_a1 recurso en línea (X, 143 páginas) _b45 ilustraciones, 29 ilustraciones a color |
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| 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 |
_aarchivo de texto _bPDF |
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_aLecture Notes in Networks and Systems _x2367-3389 _v378 |
|
| 520 | _aCybersecurity has gained in awareness and media coverage in the last decade. Not a single week passes without a major security incident that affects a company, sector, or governmental agencies. This proceedings of the International Conference on Applied CyberSecurity 2021 (ACS21), held in Dubai on 13 and 14 November, contains thirteen original contributions. More than half of the contributions are about applications of machine learning to accomplish several cybersecurity tasks, such as malware, phishing email detection, and Botnet detection. This was consistent with the current research and market trends. We divided this book into two parts; the first is focused on machine learning applications to cybersecurity, whereas the second groups the other approaches. This book is suitable for cybersecurity researchers and practitioners as well as fresh graduates. It is also suitable for artificial intelligence researchers interested in exploring applications in cybersecurity. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _9158200 _aSeguridad informática _vCongresos y asambleas |
|
| 650 | 7 |
_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas |
|
| 650 | 7 |
_2embne _aInteligencia artificial _vCongresos y asambleas _9413115 |
|
| 700 | 1 |
_aRagab Hassen, Hani _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aBatatia, Hadj _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030959173 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030959197 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95918-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE _n0 |
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_b04/2022 _dz _esc _zSI |
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