Cybersecurity Defensive Walls in Edge Computing

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

• Publisher: Academic Press
• Year: 2025
• Topic: Computer Science
• eBook ISBN:
  9780443341106
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Cybersecurity Defensive Walls in Edge Computing dives into the creation of robust cybersecurity defenses for increasingly vulnerable edge devices. This book examines the unique security challenges of edge environments, including limited resources and potentially untrusted networks, providing fundamental concepts for real-time vulnerability detection and mitigation through novel system architectures, experimental frameworks, and AI/ML techniques. Researchers and industry professionals working in cybersecurity, edge computing, cloud computing, defensive technologies, and threat intelligence will find this to be a valuable resource that illuminates critical aspects of edge-based security to advance theoretical analysis, system design, and practical implementation of defensive walls. With a focus on fast-growing edge application scenarios, this book offers valuable insights into strengthening real-time security for the proliferation of interconnected edge devices. - Provides researchers with insights into real-world scenarios of the design, development, deployment, application, management, and benefits of cybersecurity defensive walls in edge computing - Discusses critical cybersecurity defensive walls and their applications to resolve security and privacy issues which affect all parties in edge computing and provide practical learning-based solutions to solve these problems - Presents well-structured chapters from industry experts and global researchers who consider unique security challenges, including limited resources, diverse device types, and potentially untrusted network environments

Table of contents

• Title of Book
• Chapter 1 Foundations of cybersecurity and edge computing
• Chapter 2 Architectural foundations for adaptive security in edge computing systems
• Chapter 3 Advanced adversarial defense mechanisms in edge computing
• Chapter 4 Microsegmentation for containerized microservices in edge computing
• Chapter 5 XGBoost 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 for 6G networks
• 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 Secure distributed machine learning for edge computing
• 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
• Chapter 14 Application of blockchain for secured edge computing system
• Chapter 15 Support vector machines for enhanced vulnerability management and encryption 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
• Index