The NICE Cyber Security Framework Cyber Security Intelligence and Analytics 1st edition by Izzat Alsmadi ISBN ‎ 3030023591 978-3030023591

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Product details:

ISBN 10: ‎ 3030023591
ISBN 13:  978-3030023591
Author: Izzat Alsmadi 

This textbook is for courses in cyber security education that follow National Initiative for Cybersecurity Education (NICE) KSAs work roles and framework, that adopt the Competency-Based Education (CBE) method. The book follows the CBT (KSA) general framework, meaning each chapter contains three sections, knowledge and questions, and skills/labs for Skills and Abilities. The author makes an explicit balance between knowledge and skills material in information security, giving readers immediate applicable skills. The book is divided into seven parts: Securely Provision; Operate and Maintain; Oversee and Govern; Protect and Defend; Analysis; Operate and Collect; Investigate. All classroom materials (in the book an ancillary) adhere to the NICE framework.

• Mirrors classes set up by the National Initiative for Cybersecurity Education (NICE)

• Adopts the Competency-Based Education (CBE) method of teaching, used by universities, corporations, and in government training

• Includes content and ancillaries that provide skill-based instruction on compliance laws, information security standards, risk response and recovery, and more

The NICE Cyber Security Framework: Cyber Security Intelligence and Analytics 1st Table of contents:

Preface

• Introduction to the NICE Cybersecurity Framework
• The Importance of Cybersecurity Intelligence and Analytics
• Acknowledgments

Chapter 1: Understanding the NICE Cybersecurity Framework

• Overview of the National Initiative for Cybersecurity Education (NICE)
• Key Components of the NICE Framework
• How the Framework Helps Shape Cybersecurity Education and Workforce Development
• The Role of Cybersecurity Intelligence and Analytics

Chapter 2: Cybersecurity Intelligence: Concepts and Overview

• What Is Cybersecurity Intelligence?
• Types of Cybersecurity Intelligence: Strategic, Operational, Tactical, and Technical
• The Intelligence Cycle: Collection, Analysis, and Dissemination
• The Role of Threat Intelligence in Cybersecurity Defense

Chapter 3: The Role of Analytics in Cybersecurity

• Introduction to Cybersecurity Analytics
• Types of Analytics: Descriptive, Diagnostic, Predictive, and Prescriptive
• Using Analytics to Identify Patterns and Anomalies
• The Intersection of Cybersecurity Analytics and Threat Intelligence

Chapter 4: Key Concepts in Threat Intelligence

• The Lifecycle of a Cyber Threat
• Understanding Indicators of Compromise (IOCs) and Tactics, Techniques, and Procedures (TTPs)
• Threat Actors and Attribution
• Collecting, Analyzing, and Sharing Threat Intelligence

Chapter 5: Integrating Cybersecurity Intelligence into Security Operations

• Security Information and Event Management (SIEM) Systems
• Building an Effective Security Operations Center (SOC)
• Using Threat Intelligence in Incident Response and Detection
• Real-Time Monitoring and Threat Hunting

Chapter 6: Building a Cybersecurity Intelligence and Analytics Program

• Steps to Develop and Implement a Cybersecurity Intelligence Program
• Building Analytics Capabilities within Security Operations
• Key Performance Indicators (KPIs) for Intelligence and Analytics Programs
• Organizational Considerations: Governance, Risk, and Compliance

Chapter 7: The Role of Automation in Cybersecurity Intelligence and Analytics

• Automating Threat Intelligence Collection and Processing
• Machine Learning and Artificial Intelligence in Cybersecurity Analytics
• The Benefits and Risks of Automation in Security Operations
• Case Studies in Cybersecurity Automation

Chapter 8: Data Privacy and Ethical Considerations in Cybersecurity Intelligence

• Balancing Threat Detection with Privacy Concerns
• Legal and Ethical Issues in Intelligence Gathering
• Data Retention, Sharing, and Compliance with Regulations (e.g., GDPR, CCPA)
• Ethical Hacking and Penetration Testing

Chapter 9: Emerging Trends in Cybersecurity Intelligence and Analytics

• The Growing Role of Artificial Intelligence and Machine Learning
• Predictive Analytics in Cybersecurity: Anticipating Attacks Before They Happen
• Threat Intelligence Sharing and Collaboration Across Organizations
• The Future of Cybersecurity Intelligence and Analytics in the Age of IoT and Cloud Computing

Chapter 10: Building a Cybersecurity Workforce for the Future

• The Role of Training and Certification in Cybersecurity Intelligence
• Skills and Competencies for Cybersecurity Analysts and Threat Intelligence Professionals
• Developing a Cybersecurity Career Path in Intelligence and Analytics
• The Role of NICE Framework in Workforce Development

Chapter 11: Real-World Applications and Case Studies

• Case Study 1: Using Threat Intelligence to Prevent a Data Breach
• Case Study 2: Leveraging Analytics for Cyber Risk Management
• Case Study 3: Automating Threat Detection with Machine Learning
• Lessons Learned from Successful Cyber Intelligence Programs

Appendices

• Appendix A: Glossary of Cybersecurity Intelligence and Analytics Terms
• Appendix B: Key Resources and Tools for Cybersecurity Intelligence
• Appendix C: Recommended Cybersecurity Intelligence Certifications
• Appendix D: References for Further Reading and Research

Index

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