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Digitaalõiguste kaitse (DRM)
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Seda e-raamatut ei saa lugeda Amazon Kindle's.
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