Agent-Based Artificial Intelligence in Fraud Detection

Strategies for Building Secure Self-Governing Systems

Inbunden, Engelska, 2026

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-02-21
Mått:152 x 229 x undefined mm
Vikt:700 g
Format:Inbunden
Språk:Engelska
Antal sidor:344
Förlag:New India Publishing Agency
ISBN:9789372194043

Utforska kategorier

Informationsteknik: allmänt inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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