Cyber Threat Intelligence for Cloud Systems: A Comprehensive Guide to Becoming an Analyst begins with the foundational study of asset vulnerabilities, laying the groundwork for understanding the weak points within cloud environments. It then introduces tools and methodologies for the automated collection and supervision of data from assets, culminating in the exploration of advanced techniques, such as Artificial Intelligence and Machine Learning for data analysis and automated threat response. Alongside theoretical concepts, the book includes practical examples, hands-on exercises in Python, existing tools, and real-world case studies to help readers solidify their understanding and apply what they’ve learned.
Cybersecurity is one of the fastest-growing fields in today’s technological landscape, and with the increasing complexity and pervasiveness of cyber threats, especially in cloud environments, the need for qualified professionals such as Cyber Threat Analysts has never been more critical. Here, author Gianni D’Angelo provides the technical knowledge required to analyze and defend digital infrastructures, covering both traditional and modern approaches, highlighting how CTI supports decision-making and proactive defense strategies.
Cybersecurity is one of the fastest-growing fields in today’s technological landscape, and with the increasing complexity and pervasiveness of cyber threats, especially in cloud environments, the need for qualified professionals such as Cyber Threat Analysts has never been more critical. Here, author Gianni D’Angelo provides the technical knowledge required to analyze and defend digital infrastructures, covering both traditional and modern approaches, highlighting how CTI supports decision-making and proactive defense strategies.
Table of Contents
Part 1: Foundations of Cyber Threat Intelligence and System Vulnerability Analysis: Concepts, Methodologies, and Frameworks for Security Assessment in Cloud and Enterprise Environments1. Introduction and Motivations2. Cyber Threat Intelligence
3. What to Protect and From Whom: An Analysis of Threats and Actors
4. Cloud Architecture
5. Vulnerabilities: Fundamentals, Taxonomy, Characterization, and Discovery
6. Cloud VulnerabilitiesPart 2: Practical Cloud Security and Defense.: Hands-On Labs for Offensive and Defensive Techniques7. Frameworks for Effective Threat Monitoring and Analysis: MITRE ATT&CK & SIEM
8. Automated Threat Detection and Response
9. Virtual Lab for Threat Analysis: Ethics, Network Architecture, and Attack Lifecycle
10. Analyzing and Simulating Attacks on OpenStack InfrastructuresPart 3: Cyber Data Analytics: AI-Powered Threat Analysis11. Cybersecurity and Big Data
12. Machine Learning and Artificial Intelligence for Cyber Big Data Analysis
13. Practical Data Mining with WEKA
14. Python Libraries for Threat IntelligencePart 4: Understanding Network Traffic: Analysis, Features, and Classification15. Intrusion Detection Systems
16. Network Traffic Analysis and Packet Processing
17. Network Traffic Feature Extraction and Analysis
18. Network Traffic Classification
19. Concluding Remarks and Future Directions
Appendix
Bibliography
Authors
Gianni D'Angelo University of Salerno, Italy.Dr. Gianni D'Angelo is an Associate Professor at the Department of Computer Science of the University of Salerno, Italy, where he teaches "Cybersecurity and Threat Intelligence for Cloud Systems". He received the M.S. degree (cum laude) in Computer Engineering, and the Ph.D. degree in Computer Science, applied electromagnetism and telecommunications from the University of Salerno.
