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Integrating advanced technologies fo...

Rocha, Álvaro.

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Integrating advanced technologies for enhanced security and efficiency

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

Integrating advanced technologies for enhanced security and efficiency
Integrating advanced technologies for enhanced security and efficiency[electronic resource] /edited by Alvaro Rocha ... [et al.]. - Cham :Springer Nature Switzerland :2025. - ix, 398 p. :ill. (chiefly col.), digital ;24 cm. - Engineering cyber-physical systems and critical infrastructures,v. 142731-5010 ;. - Engineering cyber-physical systems and critical infrastructures ;v. 14..

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.

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.

ISBN: 9783031917981

Standard No.: 10.1007/978-3-031-91798-1doiSubjects--Topical Terms:

540555
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Integrating advanced technologies for enhanced security and efficiency
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245 0 0 $a Integrating advanced technologies for enhanced security and efficiency $h [electronic resource] / $c edited by Alvaro Rocha ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a ix, 398 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Engineering cyber-physical systems and critical infrastructures, $x 2731-5010 ; $v v. 14
505 0 $a 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.
520 $a 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.
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650 0 $a Artificial intelligence. $3 516317
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650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Rocha, Álvaro. $3 3626791
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856 4 0 $u https://doi.org/10.1007/978-3-031-91798-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)