AI-Driven Cybersecurity and Threat Intelligence
Iqbal H. Sarker
Abstract
As technology advances, artificial intelligence (AI) and cybersecurity have become increasingly important.This book explores the dynamics of how AI technology intersects with cybersecurity challenges and threat intelligence as they evolve.Integrating AI into cybersecurity not only offers enhanced defense mechanisms but also presents a paradigm shift in how we conceptualize, detect, and mitigate cyber threats.An in-depth exploration of AI-driven solutions, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks, and explainable AI (XAI) models, underpins the future of cybersecurity in this comprehensive exploration.As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications, research issues, and potential directions to cybersecurity researchers, practitioners, and enthusiasts alike.Throughout this journey, we will discover innovation, challenges, and opportunities, providing a holistic perspective on the transformative role of AI in securing the digital world.We can divide this book into three main parts: The first part of the book consists of the introduction to AI-driven cybersecurity and threat intelligence highlighting AI variants with their potentiality.We also discuss basic cybersecurity knowledge including common terminologies used in the area, attack framework, and security life cycle to provide the required background knowledge and themes for this book. In the next part of this book, we explore diverse AI/XAI methods and relevant emerging technologies in the context of cybersecurity, by presenting learning technologies such as machine learning and deep learning algorithms and relevant others.After that, we conduct a comprehensive empirical analysis of various security models toward anomaly and attack detection based on machine learning techniques.We also explore the potentiality of generative AI in the context of cybersecurity as well as data science modeling toward advanced analytics, knowledge, and rule discovery for explainable AI modeling in the context of cybersecurity.