Machine learning for cyber security:
This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses to...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2022]
|
| Schriftenreihe: | De Gruyter series on the applications of mathematics in engineering and information sciences
volume 15 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745?locatt=mode:legacy https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745 https://doi.org/10.1515/9783110766745 |
| Zusammenfassung: | This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools. |
| Umfang: | 1 Online-Ressource (X, 148 Seiten) Illustrationen |
| ISBN: | 9783110766745 9783110766769 |
| DOI: | 10.1515/9783110766745 |
Internformat
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| id | DE-604.BV048608036 |
| illustrated | Illustrated |
| indexdate | 2025-02-18T21:08:00Z |
| institution | BVB |
| isbn | 9783110766745 9783110766769 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033983459 |
| oclc_num | 1355305304 |
| open_access_boolean | |
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| owner_facet | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 DE-91 DE-BY-TUM DE-573 DE-898 DE-BY-UBR DE-706 |
| physical | 1 Online-Ressource (X, 148 Seiten) Illustrationen |
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| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | De Gruyter |
| record_format | marc |
| series | De Gruyter series on the applications of mathematics in engineering and information sciences |
| series2 | De Gruyter series on the applications of mathematics in engineering and information sciences |
| spellingShingle | Machine learning for cyber security De Gruyter series on the applications of mathematics in engineering and information sciences IT-Sicherheit Künstliche Intelligenz Maschinelles Lernen Neuronale Netze |
| title | Machine learning for cyber security |
| title_auth | Machine learning for cyber security |
| title_exact_search | Machine learning for cyber security |
| title_full | Machine learning for cyber security edited by Preeti Malik, Lata Nautiyal and Mangey Ram |
| title_fullStr | Machine learning for cyber security edited by Preeti Malik, Lata Nautiyal and Mangey Ram |
| title_full_unstemmed | Machine learning for cyber security edited by Preeti Malik, Lata Nautiyal and Mangey Ram |
| title_short | Machine learning for cyber security |
| title_sort | machine learning for cyber security |
| topic | IT-Sicherheit Künstliche Intelligenz Maschinelles Lernen Neuronale Netze |
| topic_facet | IT-Sicherheit Künstliche Intelligenz Maschinelles Lernen Neuronale Netze |
| url | https://doi.org/10.1515/9783110766745 |
| volume_link | (DE-604)BV047361200 |
| work_keys_str_mv | AT malikpreeti machinelearningforcybersecurity AT nautiyallata machinelearningforcybersecurity AT rammangey machinelearningforcybersecurity |