Machine Learning for Cyber Security

5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4¿6, 2023, Proceedings
Herausgegeben:Kim, Dan Dongseong; Chen, Chao

• Broschiertes Buch

Produktbeschreibung

This book constitutes the referred proceedings of the 5th International Conference on Machine Learning for Cyber Security, ML4CS 2023, held in Yanuca Island, Fiji, during December 4-6, 2023.

The 11 full papers presented in this book were carefully reviewed and selected from 35 submissions. They cover a variety of topics, including cybersecurity, AI security, machine learning security, encryption, authentication, data security and privacy, cybersecurity forensic analysis, vulnerability analysis, malware analysis, anomaly and intrusion detection.

Produktdetails

• Lecture Notes in Computer Science 14541
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-2457-4
• 2024
• Seitenzahl: 188
• Erscheinungstermin: 23. April 2024
• Englisch
• Abmessung: 235mm x 155mm x 11mm
• Gewicht: 295g
• ISBN-13: 9789819724574
• ISBN-10: 9819724570
• Artikelnr.: 70169615

Inhaltsangabe

Keystroke Transcription from Acoustic Emanations Using Continuous Wavelet Transform.- Strengthening Cyber Security Education Designing Robust Assessments for Chat GPT Generated Answers.- Pass File Graphical Password Authentication based on File Browsing Records.- On the Role of Similarity in Detecting Masquerading Files.- A Password-based Mutual Authenticated Key Exchange Scheme by Blockchain for WBAN.- Traffic Signal Timing Optimization Based on Intersection Importance in Vehicle Road Collaboration.- A client side watermarking with private class in Federated learning.- Research on Evasion and Detection of Malicious JavaScript Code.- Tackling Non IID for Federated Learning with Components Alignment.- Security on top of Security Detecting Malicious Firewall Policy Changes via K Means Clustering.- Penetrating Machine Learning Servers via Exploiting BMC Vulnerability.