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Machine Learning for Cyber Security: 6th International Conference, ML4CS 2024, Hangzhou, China, December 27–29, 2024, Proceedings: 15566 (Lecture Notes in Computer Science) - Softcover
Inhaltsangabe
This book constitutes the referred proceedings of the 6th International Conference on Machine Learning for Cyber Security, ML4CS 2024, held in Hangzhou, China, during December 27–29, 2024.
The 30 full papers presented in this book were carefully reviewed and selected from 111 submissions. ML4CS is a well-recognized annual international forum for AI-driven security researchers to exchange ideas and present their works. The conference focus on topics such as blockchain, network security, system security, software security, threat intelligence, cybersecurity situational awareness and much many more.
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- VerlagSpringer
- Erscheinungsdatum2025
- ISBN 10 9819645654
- ISBN 13 9789819645657
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten464
- HerausgeberXiang Yang, Shen Jian
- Kontakt zum HerstellerNicht verfügbar
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Machine Learning for Cyber Security : 6th International Conference, ML4CS 2024, Hangzhou, China, December 27-29, 2024, Proceedings
Verlag:
Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819645654
ISBN 13: 9789819645657
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the referred proceedings of the 6th International Conference on Machine Learning for Cyber Security, ML4CS 2024, held in Hangzhou, China, during December 27 29, 2024.The 30 full papers presented in this book were carefully reviewed and selected from 111 submissions. ML4CS is a well-recognized annual international forum for AI-driven security researchers to exchange ideas and present their works. The conference focus on topics such as blockchain, network security, system security, software security, threat intelligence, cybersecurity situational awareness and much many more. Artikel-Nr. 9789819645657
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Machine Learning for Cyber Security: 6th International Conference, ML4CS 2024, Hangzhou, China, December 27-29, 2024, Proceedings (Lecture Notes in Computer Science)
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