Integrating Advanced Technologies for Enhanced Security and Efficiency

AI-Powered Threat Detection and Prevention.- Cyber Threat Detection and Classification Using Machine Learning Techniques.- A Network Intrusion Detection System using Machine Learning Algorithms.- Enhancing Real-time Security Monitoring: A Hybrid Machine Learning Approach to Cyber Threat Detection.- Hybrid Ensemble Models for Phishing Website Detection: A Comprehensive Comparative Analysis Using varies Classifier Approaches.- Federated Threat Detection with Dirichlet Distribution.- Safeguarding Authenticity: Tackling the  Cybersecurity Implications of Deepfake AI.- Evaluating TabNet’s Performance Against Phishing Threats using Deep Learning for Cybersecurity.- Integrating AI, IoT, and Blockchain for Holistic Solutions.- Pragmatic review and Implementation of models targeted toward the identification of fake social media profiles.- Multi- Task Cascaded Convolutional Neural Network Foundation for Driver Drowsiness Detection.- Countering the Imposters: An Efficient Multimodal Approach to Fake Profile Detection on Social Media Sites.

• Erscheinungsdatum: 08.08.2025
• Autor/Autorin: Alvaro Rocha
• Reihe: Intelligent Technologies and Robotics (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 20.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 450 Seiten
• ISBN: 9783031917981
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.