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Agent-Based Artificial Intelligence in Fraud Detection: Strategies for Building Secure Self-Governing Systems

Language: English | Imprint: NIPA

Hardback

ISBN: 9789372194043
Pages: 344 | Length: 152 mm | Breadth: 19.2 mm | Height: 229 mm | Weight: 700 GSM
Print Book Price: 180.00 USD (Get 10% OFF)
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EBook

EISBN: 9789372197105
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eChapter

eChapter details: Available in the Content section below.
<p style="text-align:justify">Agent-Based Artificial Intelligence in Fraud Detection explores advanced AI-driven approaches for identifying and preventing fraud in modern digital ecosystems. The book presents agent-based artificial intelligence, multi-agent systems, blockchain integration, and deep reinforcement learning as powerful tools for adaptive and real-time fraud detection. It covers financial fraud, public sector applications, cloud security, currency recognition, and distributed decision-making systems.</p> <p style="text-align:justify">Through case studies and practical frameworks, it highlights scalability, interoperability, ethics, and regulatory challenges in deployment. The work provides a multidisciplinary roadmap for researchers, policymakers, and cybersecurity professionals to build secure, transparent, and resilient digital financial systems in an evolving technological landscape.</p>
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