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

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


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About the Book

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.

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.

Table of Contents:

  • Chapter 1 Foundations and Principles of Agent-Based Artificial Intelligence for Enhancing Fraud Detection Mechanisms in Complex Financial Ecosystem
  • Chapter 2 Comprehensive Analysis of Fraud Typologies Behavioural Patterns in Financial, E-Commerce, and Digital Identity Domains
  • Chapter 3 Design and Implementation of Multi-Agent Architectures for Scalable and Adaptive Data Fraud Detection Systems
  • Chapter 4 Integrating Blockchain Technology with Agent-Based AI to Ensure Data Integrity, Transparency, and Trust in Fraud Prevention Systems
  • Chapter 5 Applications of Agent-Based AI in Public Sector Fraud Detection: Enhancing Transparency and Accountability in Government Services
  • Chapter 6 Real-Time Detection of Transactional Fraud in Digital Payment Platforms through Intelligent Multi-Agent Systems
  • Chapter 7 Deep Learning Framework with Agent-Based Currency Recognition in Fraud Detection to Empower the Visually Impaired
  • Chapter 8 Applying Deep Reinforcement Learning to Develop Autonomous Agents Capable of Continuous Adaptation in Dynamic Fraud Environments
  • Chapter 9 Advanced Coordination, Negotiation, and Conflict Resolution Techniques Among Autonomous Agents in Distributed Fraud Detection Networks
  • Chapter 10 AI in Cloud Security: Threat Detection, Compliance Monitoring, and Intelligent Response Automation
  • Chapter 11 Addressing Scalability, Latency, and Interoperability Challenges in Real-World Deployments of Agent-Based Fraud Detection Systems
  • Chapter 12 Navigating Ethical, Legal, and Regulatory Challenges in the Deployment of Agent-Based AI Systems for Fraud Prevention in Financial Services
  • Chapter 13 Challenges, Opportunities, and a Research Roadmap for the Next Generation of Agent-Based AI Solutions in Fraud Prevention


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Product Details
  • ISBN-13: 9789372194043
  • Publisher: New India Publishing Agency
  • Publisher Imprint: New India Publishing Agency
  • Height: 229 mm
  • No of Pages: 344
  • Weight: 700 gr
  • ISBN-10: 9372194042
  • Publisher Date: 21 Feb 2026
  • Binding: Hardback
  • Language: English
  • Sub Title: Strategies for Building Secure Self-Governing Systems
  • Width: 152 mm


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