Cybersecurity Defensive Walls in Edge Computing

Name: Cybersecurity Defensive Walls in Edge Computing
Price: 180 USD
Availability: InStock
ISBN: 9780443341090

by Agbotiname Lucky Imoize, Fatos Xhafa, Mohammad S. Obaidat, Houbing Herbert Song

1st Edition

Publisher: Academic Press

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Computer Science & IT

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Book Details

Print ISBN	9780443341090
eText ISBN	9780443341106
Publisher	Academic Press
Publishing Year	2025
Edition	1st Edition
Language	English
Pages	550

The book Cybersecurity Defensive Walls in Edge Computing, 1st Edition addresses protection methods for edge processing environments operating under system resource constraints and untrusted network conditions. Edited by Agbotiname Lucky Imoize, Fatos Xhafa, Mohammad S. Obaidat, and Houbing Herbert Song, this volume outlines core principles intended to assist real-time vulnerability detection and threat mitigation through custom system architectures, empirical frameworks, and machine learning models.

Technical chapters focus on specialized classification models and infrastructure isolation methods. Detailed analyses evaluate intrusion detection systems that apply Extreme Gradient Boosting and Random Forest algorithms to monitor operational network traffic. Contributions also examine microsegmentation deployment for containerized microservices alongside biometric-based access control mechanisms engineered to secure edge computing resources and digital services.

Issued by Academic Press within the Intelligent Data-Centric Systems series, this 550-page work provides academic and practical framing for graduate students, computer science researchers, and industry specialists working across threat intelligence, defensive technologies, and risk management.

Chapter 1: Fundamental concepts of cybersecurity and edge computing
Chapter 2: Architectural Foundations for Cybersecurity in Edge Computing
Chapter 3: Advanced adversarial defense mechanisms in edge computing
Chapter 4: Microsegmentation for containerized microservices in edge computing
Chapter 5: Extreme Gradient Boosting and Random Forest based Intrusion Detection System
Chapter 6: Reidentification Risks in Distributed Differentially Private Data Leveraging Large Language Models
Chapter 7: Cutting-Edge Advances in Edge Computing-assisted Optical Wireless Communications
Chapter 8: Fortifying the Edge: Zero-Knowledge Proofs for Scalable Block Verification in NEAR Protocol
Chapter 9: Detection of Hardcoded Login Credentials via Network Function
Chapter 10: Advancing Cyber Resilience in Edge Computing with Secure Distributed Machine Learning
Chapter 11: Defensive Walls Against Sophisticated ML-Orchestrated Attacks in Edge Computing
Chapter 12: Biometric-Based Access Control mechanism for Edge Computing Resources and Services
Chapter 13: Silent Threat: RAT Attack Strategy and Real Case Analysis in Edge Computing
Chapter 14: Application of Blockchain for Secured Edge Computing System
Chapter 15: Support Vector Machines for Enhancing Vulnerability Management and Encryption Protocols in Edge Computing
Chapter 16: Social and ethical solutions to defeat cyber attacks in edge computing
Chapter 17: Legal Framework and Regulatory Policies for Cyber-edge Computing Systems