Distributed Wireless Modular BMS for Fraud-Resilient Life Insurance Ecosystems Using AI and Cloud
DOI:
https://doi.org/10.15680/IJCTECE.2025.0802007Keywords:
Distributed Wireless BMS, Fraud-Resilient Life Insurance, AI-Driven Analytics, Cloud Computing, Modular Architecture, Anomaly Detection, Predictive Risk Management, Human-Centric Monitoring, Intelligent Insurance EcosystemAbstract
This paper presents a Distributed Wireless Modular Building Management System (BMS) framework for fraud-resilient life insurance ecosystems leveraging AI and cloud computing. The proposed architecture integrates distributed wireless nodes, modular system components, and AI-driven analytics to monitor, detect, and mitigate fraudulent activities in real time. Cloud-based orchestration ensures scalability, secure data management, and seamless integration of heterogeneous system modules. By combining predictive modeling, anomaly detection, and adaptive decision-making, the framework enhances operational efficiency, reduces risks, and improves trustworthiness in life insurance operations. The approach supports human-centric oversight, continuous learning, and resilience against evolving cyber threats, enabling a secure and intelligent insurance ecosystem.
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