Agent-Based Artificial Intelligence in Fraud Detection
Strategies for Building Secure Self-Governing Systems
Gebonden EN 2026 9789372194043Samenvatting
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.
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Lezersrecensies
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan