Part I: Foundations of Cyber Defense and Risk Assessment

Chapter 1: AI-Powered Strategies for Advanced Malware Detection and Prevention

Chapter 2: Advancing Malware Classification with Hybrid Deep Learning

Chapter 3: A Comprehensive Overview of AI-Driven Behavioral Analysis for Security in Internet of Things

Chapter 4: A Deep Dive into IoT Security: Machine Learning Solutions and Research Perspectives

Chapter 5: Exploring Blockchain Techniques for Enhancing IoT Security and Privacy: A Comprehensive Analysis

Part II: Analyzing and Responding to Emerging Threats

Chapter 6: Integrating Security Analysis Module for Proactive Threat Intelligence

Chapter 7: Security Study of Web Applications through a White Box Audit Approach: A Case Study

Chapter 8: Case Study Method: A Step-by-Step Black Box Audit for Security Study of Web Applications

Chapter 9: Security in Cloud-Based IoT: A Survey

Chapter 10: Exploring IoT penetration testing: From fundamentals to practical setup

Chapter 11: A Fuzzy Logic-Based trust system for detecting selfish nodes and encouraging cooperation in Optimized Link State Routing protocol

Chapter 12: Collaborative Cloud-SDN Architecture for IoT Privacy-Preserving Based on Federated Learning

Chapter 13: An adaptive cybersecurity strategy based on game theory to manage emerging threats In The SDN Infrastructure

Part III: Human-Centric Risk Mitigation Approaches

Chapter 14: A Human-Centric Approach to Cyber Risk Mitigation

Chapter 15: Human Factors in Cyber Defense

Chapter 16: Security Operation Center: Towards A Maturity Model