| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Integrating advanced technologies for enhanced security and efficiency/ edited by Alvaro Rocha ... [et al.]. |
| other author: |
Rocha, Álvaro. |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
ix, 398 p. :ill. (chiefly col.), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer security. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-91798-1 |
| ISBN: |
9783031917981 |