Handbook of research on machine and deep learning applications for cyber security:
"This book explores the use of machine learning and deep learning applications in the areas of cyber security and cyber-attack handling mechanisms"--
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, PA
IGI Global
[2020]
|
| Subjects: | |
| Online Access: | DE-1050 DE-706 DE-83 DE-898 Volltext |
| Summary: | "This book explores the use of machine learning and deep learning applications in the areas of cyber security and cyber-attack handling mechanisms"-- |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781522596134 |
| DOI: | 10.4018/978-1-5225-9611-0 |
Staff View
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| 245 | 1 | 0 | |a Handbook of research on machine and deep learning applications for cyber security |c Padmavathi Ganapathi, D. Shanmugapriya |
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Record in the Search Index
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| id | DE-604.BV046208819 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T06:01:26Z |
| institution | BVB |
| isbn | 9781522596134 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031587755 |
| oclc_num | 1125190771 |
| open_access_boolean | |
| owner | DE-1050 DE-706 DE-83 DE-898 DE-BY-UBR |
| owner_facet | DE-1050 DE-706 DE-83 DE-898 DE-BY-UBR |
| physical | 1 Online-Ressource |
| psigel | ZDB-98-IGB ZDB-98-IGB FHD01_IGB_Kauf ZDB-98-IGB TUB_EBS_IGB ZDB-98-IGB FHR_PDA_IGB |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Handbook of research on machine and deep learning applications for cyber security Padmavathi Ganapathi, D. Shanmugapriya Machine and deep learning applications for cyber security Hershey, PA IGI Global [2020] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier "This book explores the use of machine learning and deep learning applications in the areas of cyber security and cyber-attack handling mechanisms"-- Computer networks / Security measures Computer security / Data processing Computer crimes / Prevention / Data processing Machine learning Computer networks / Security measures fast Machine learning fast Ganapathi, Padmavathi edt Shanmugapriya, D. edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-5225-9611-0 Erscheint auch als Druck-Ausgabe, softcover 978-1-5225-9612-7 https://doi.org/10.4018/978-1-5225-9611-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Handbook of research on machine and deep learning applications for cyber security Computer networks / Security measures Computer security / Data processing Computer crimes / Prevention / Data processing Machine learning Computer networks / Security measures fast Machine learning fast |
| title | Handbook of research on machine and deep learning applications for cyber security |
| title_alt | Machine and deep learning applications for cyber security |
| title_auth | Handbook of research on machine and deep learning applications for cyber security |
| title_exact_search | Handbook of research on machine and deep learning applications for cyber security |
| title_full | Handbook of research on machine and deep learning applications for cyber security Padmavathi Ganapathi, D. Shanmugapriya |
| title_fullStr | Handbook of research on machine and deep learning applications for cyber security Padmavathi Ganapathi, D. Shanmugapriya |
| title_full_unstemmed | Handbook of research on machine and deep learning applications for cyber security Padmavathi Ganapathi, D. Shanmugapriya |
| title_short | Handbook of research on machine and deep learning applications for cyber security |
| title_sort | handbook of research on machine and deep learning applications for cyber security |
| topic | Computer networks / Security measures Computer security / Data processing Computer crimes / Prevention / Data processing Machine learning Computer networks / Security measures fast Machine learning fast |
| topic_facet | Computer networks / Security measures Computer security / Data processing Computer crimes / Prevention / Data processing Machine learning |
| url | https://doi.org/10.4018/978-1-5225-9611-0 |
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