Architecting Secure Smart Infrastructures with AI Microservices and Autonomous Agents: A State-of-the-Art Review and Healthcare Use Case

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Detalles Bibliográficos
Publicado en:	The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025), p. 1-6
Autor principal:	Traian-Cristian Ureche
Otros Autores:	Popovici, Eduard-Cristian, Halunga, Simona, Boicescu, Laurentiu, Turcanu, Dinu, Andra Paula Avasiloaie
Publicado:	The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Materias:	Quantum computing Agents (artificial intelligence) Data exchange Artificial intelligence Security systems Health care Precision agriculture Anomalies Machine learning Federated learning Cybersecurity Supply chains Economic
Acceso en línea:	Citation/Abstract
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Descripción
Resumen:	Conference Title: 2025 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)Conference Start Date: 2025 June 23Conference End Date: 2025 June 26Conference Location: Chisinau, Moldova, Republic ofCyber threats in smart infrastructure, including industrial IoT, healthcare systems, and cloud-edge environments, have evolved and call for smart security systems combining artificial intelligence microservices with autonomous agents. Traditional methods lack the flexibility required for proactive and cross-sector defense. This paper looks at state-of-the-art AI-powered microservices (e.g., NVIDIA, AWS, Azure, Google) and their integration with autonomous agents for adaptive governance, threat mitigation, and anomaly detection. A reference architecture is suggested to support interoperability, federated learning, and resilience after quantum computing. Through a healthcare use case we show how secure data exchange, predictive diagnostics, and compliance enforcement can be used in areas like digital heritage protection, precision agriculture, and supply chain security. Our study gives us useful information for making AI-driven infrastructures that are safe, scalable, and long-lasting.
DOI:	10.1109/BlackSeaCom65655.2025.11193935
Fuente:	Science Database