Mohaisen Machine Learning for Cyber Security

Machine Learning for Cyber Security

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8th International Conference, ML4CS 2026, Nadi, Fiji, July 6–10, 2026, Proceedings

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Beschreibung

This volume constitutes the proceedings of the 8th International Conference on Machine Learning for Cyber Security, ML4CS 2026, held in Nadi, Fiji, on July 6–10, 2026.

The 28 full papers were carefully reviewed and selected from 101 submissions. These papers were organized in following topical sections:Intrusion Detection and Network Traffic Analysis; Malware, Ransomware, and Malicious Code Detection; Federated Learning Security and Privacy-Preserving Machine Learning; LLM and Prompt Security; Privacy, Authentication, and Content Protection; and  Trustworthy AI, Explainability, and Cyber Governance.


Autor*in

David Mohaisen

Themen in »Machine Learning for Cyber Security«

Machine learning for cybersecurity artificial intelligence for cybersecurity network security system security software security data security and privacy adversarial machine learning trustworthy AI privacy-preserving machine learning generative AI security large language model security AI agent security malware and intrusion detection cyber-physical systems security blockchain security

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Details

ISBN: 9789819257515
Verlag: Springer Singapore
Erscheinung: 24.10.2026

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