Intelligent AI Security Solutions for Cloud Computing and Distributed Networks

Dear Colleagues,

The increasing adoption of cloud computing, distributed networks, edge computing, Internet of Things (IoT) environments, and cloud-native architectures has created highly dynamic and complex infrastructures that present significant cybersecurity challenges. Traditional security mechanisms based on static rules, signatures, and predefined policies are increasingly challenged by rapidly evolving threats, heterogeneous environments, and continuously changing attack surfaces. Advances in artificial intelligence (AI), machine learning (ML), deep learning, generative AI, and autonomous intelligent systems offer new opportunities for developing adaptive, proactive, and increasingly autonomous cybersecurity solutions.

This Special Issue, "Intelligent AI Security Solutions for Cloud Computing and Distributed Networks," aims to bring together innovative research at the intersection of artificial intelligence, cybersecurity, cloud computing, networking, and distributed systems. We welcome theoretical and applied contributions addressing intelligent threat detection and prediction, intrusion and anomaly detection, security automation and orchestration, autonomous cyber defense, cloud-native security, zero-trust architectures, adversarial and trustworthy AI, federated learning, generative AI and AI agents for cybersecurity, and intelligent security for edge and IoT environments.

Particular emphasis will be placed on scalable, robust, explainable, reproducible, and deployable approaches that move beyond isolated AI classification tasks toward integrated intelligent security architectures capable of protecting contemporary cloud and distributed infrastructures.

Prof. Dr. Vedran Dakic
Dr. Zdravko Kunić
Guest Editors

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