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Machine Learning for Cyber Security

E-BookPDF1 - PDF WatermarkE-Book
Englisch
Springer Nature Singaporeerschienen am22.04.20242024
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR117,69
E-BookPDF1 - PDF WatermarkE-Book
EUR106,99

Produkt

KlappentextThis 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.
Details
Weitere ISBN/GTIN9789819724581
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2024
Erscheinungsdatum22.04.2024
Auflage2024
ReiheLecture Notes in Computer Science
Reihen-Nr.14541
SpracheEnglisch
Dateigrösse19612 Kbytes
IllustrationenXII, 174 p. 69 illus., 59 illus. in color.
Artikel-Nr.14494558
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr