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020 _a9783030959180
024 7 _a10.1007/978-3-030-95918-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.A2
_b2022 EB
050 4 _aTK5105.8855
_b2022 EB
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
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _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
700 1 _aBatatia, Hadj
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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)
942 _2lcc
_cLE
_n0
998 _b04/2022
_dz
_esc
_zSI