Advances in malware and data-driven network security:
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensively
Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
[2021]
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/978-1-7998-7789-9 https://doi.org/10.4018/978-1-7998-7789-9 https://doi.org/10.4018/978-1-7998-7789-9 https://doi.org/10.4018/978-1-7998-7789-9 https://doi.org/10.4018/978-1-7998-7789-9 https://doi.org/10.4018/978-1-7998-7789-9 https://doi.org/10.4018/978-1-7998-7789-9 |
| Zusammenfassung: | "This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensively |
| Beschreibung: | Includes bibliographical references and index Chapter 1. Machine learning for malware analysis: methods, challenges, and future directions -- Chapter 2. Research trends for malware and intrusion detection on network systems: a topic modelling approach -- Chapter 3. Deep-learning and machine-learning-based techniques for malware detection and data-driven network security -- Chapter 4. The era of advanced machine learning and deep learning algorithms for malware detection -- Chapter 5. Malware detection in industrial scenarios using machine learning and deep learning techniques -- Chapter 6. Malicious node detection using convolution technique: authentication in wireless sensor networks (WSN) -- Chapter 7. Scalable rekeying using linked LKH algorithm for secure multicast communication -- Chapter 8. Botnet defense system and White-hat worm launch strategy in IoT network -- Chapter 9. A survey on emerging security issues, challenges, and solutions for Internet of things (IoTs) -- Chapter 10. Secbrain: a framework to detect cyberattacks revealing sensitive data in brain-computer interfaces -- Chapter 11. A study on data sharing using blockchain system and its challenges and applications -- Chapter 12. Fruit fly optimization-based adversarial modeling for securing wireless sensor networks (WSN) -- Chapter 13. Cybersecurity risks associated with brain-computer interface classifications. - Mode of access: World Wide Web |
| Umfang: | 1 Online-Ressource (304 Seiten) |
| ISBN: | 9781799877912 |
| DOI: | 10.4018/978-1-7998-7789-9 |
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| discipline | Informatik |
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| format | Electronic eBook |
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| id | DE-604.BV047856053 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:30:18Z |
| institution | BVB |
| isbn | 9781799877912 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033238791 |
| oclc_num | 1302315759 |
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| publishDate | 2021 |
| publishDateSearch | 2021 |
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| publisher | IGI Global |
| record_format | marc |
| spellingShingle | Advances in malware and data-driven network security Computer networks Security measures Malware (Computer software) Machine learning Computerforensik (DE-588)4774034-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Gehirn-Computer-Schnittstelle (DE-588)4616897-7 gnd Malware (DE-588)4687059-3 gnd |
| subject_GND | (DE-588)4774034-6 (DE-588)4193754-5 (DE-588)4616897-7 (DE-588)4687059-3 |
| title | Advances in malware and data-driven network security |
| title_auth | Advances in malware and data-driven network security |
| title_exact_search | Advances in malware and data-driven network security |
| title_full | Advances in malware and data-driven network security Brij B. Gupta, editor |
| title_fullStr | Advances in malware and data-driven network security Brij B. Gupta, editor |
| title_full_unstemmed | Advances in malware and data-driven network security Brij B. Gupta, editor |
| title_short | Advances in malware and data-driven network security |
| title_sort | advances in malware and data driven network security |
| topic | Computer networks Security measures Malware (Computer software) Machine learning Computerforensik (DE-588)4774034-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Gehirn-Computer-Schnittstelle (DE-588)4616897-7 gnd Malware (DE-588)4687059-3 gnd |
| topic_facet | Computer networks Security measures Malware (Computer software) Machine learning Computerforensik Maschinelles Lernen Gehirn-Computer-Schnittstelle Malware |
| url | https://doi.org/10.4018/978-1-7998-7789-9 |
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