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

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Publicat a:The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025), p. 1-6
Autor principal: Traian-Cristian Ureche
Altres autors: Popovici, Eduard-Cristian, Halunga, Simona, Boicescu, Laurentiu, Turcanu, Dinu, Andra Paula Avasiloaie
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The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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024 7 |a 10.1109/BlackSeaCom65655.2025.11193935  |2 doi 
035 |a 3261401927 
045 2 |b d20250101  |b d20251231 
084 |a 228229  |2 nlm 
100 1 |a Traian-Cristian Ureche  |u National University of Science and Technology POLITEHNICA Bucharest,Telecommunication Department,Bucharest,Romania 
245 1 |a Architecting Secure Smart Infrastructures with AI Microservices and Autonomous Agents: A State-of-the-Art Review and Healthcare Use Case 
260 |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  |c 2025 
513 |a Conference Proceedings 
520 3 |a 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. 
653 |a Quantum computing 
653 |a Agents (artificial intelligence) 
653 |a Data exchange 
653 |a Artificial intelligence 
653 |a Security systems 
653 |a Health care 
653 |a Precision agriculture 
653 |a Anomalies 
653 |a Machine learning 
653 |a Federated learning 
653 |a Cybersecurity 
653 |a Supply chains 
653 |a Economic 
700 1 |a Popovici, Eduard-Cristian  |u National University of Science and Technology POLITEHNICA Bucharest,Telecommunication Department,Bucharest,Romania 
700 1 |a Halunga, Simona  |u National University of Science and Technology POLITEHNICA Bucharest,Telecommunication Department,Bucharest,Romania 
700 1 |a Boicescu, Laurentiu  |u National University of Science and Technology POLITEHNICA Bucharest,Telecommunication Department,Bucharest,Romania 
700 1 |a Turcanu, Dinu  |u Technical University of Moldova,Faculty of Electronics and Telecommunications,Chisinau,Moldova 
700 1 |a Andra Paula Avasiloaie  |u National University of Science and Technology POLITEHNICA Bucharest,Telecommunication Department,Bucharest,Romania 
773 0 |t The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings  |g (2025), p. 1-6 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3261401927/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch