Integrating Advanced Technologies for Enhanced Security and Efficiency / edited by Alvaro Rocha, Fernando Moreira, Sachi Nandan Mohanty, Shu Hu.

Format:

Book

Author/Creator:

Rocha, Álvaro.

Contributor:

Moreira, Fernando.

Mohanty, Sachi Nandan.

Hu, Shu.

Series:

Engineering Cyber-Physical Systems and Critical Infrastructures, 2731-5010 ; 14

Language:

English

Subjects (All):

Engineering--Data processing.

Engineering.

Computational intelligence.

Artificial intelligence.

Data Engineering.

Computational Intelligence.

Artificial Intelligence.

Local Subjects:

Data Engineering.

Computational Intelligence.

Artificial Intelligence.

Physical Description:

1 online resource (444 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This book examines the profound impact of emerging innovations on security and operational effectiveness. This book brings together leading experts in artificial intelligence, blockchain, IoT, and cyber security to tackle key challenges in protecting digital and physical infrastructures. Covering areas such as automated threat detection, secure data exchange, and intelligent system optimization, the book offers practical strategies and case studies. Designed for researchers, professionals, and policymakers, it serves as a comprehensive resource for harnessing advanced technologies to build resilient and efficient security frameworks. Whether mitigating cyber threats, streamlining industrial operations, or improving decision-making, this book provides essential insights for navigating today’s rapidly evolving technological landscape.

Contents:

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.

ISBN:

3-031-91798-7

OCLC:

1534441290