AI, GenAI, Blockchain, IoT, and Big Data Analytics for Counter-Terrorism: Detecting Terrorist-Linked Entities and Networks
Paperback
Publisher: Independently Published
Published: Nov 15 2025
Pages: 652
Weight: 1.89
Height: 1.31 Width: 6.00 Depth: 9.00
Language: English
This book focuses on the practical application of these advanced technologies in counter-terrorism, emphasizing how they can detect, analyze, and mitigate threats linked to terrorist entities and networks. Through a combination of conceptual discussions, real-world case studies, and hands-on code examples, readers will gain insights into how AI-driven predictive models, graph analytics, anomaly detection, and secure blockchain systems are transforming counter-terrorism strategies.
Furthermore, the book explores ethical considerations, privacy concerns, and policy frameworks critical to deploying these technologies responsibly. Balancing security imperatives with human rights and legal norms is a central theme, highlighting that technology, while powerful, must operate within a framework that respects civil liberties and fosters global cooperation.
By bridging cutting-edge technology with counter-terrorism practice, this book aims to serve as a comprehensive guide for security professionals, researchers, policymakers, and technologists seeking to leverage AI, GenAI, Blockchain, IoT, and Big Data Analytics to detect terrorist-linked entities, uncover hidden networks, and proactively safeguard communities.
In an era where threats are increasingly digitally interconnected and highly adaptive, understanding and employing these technologies is no longer optional-it is imperative.
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