A Trust-Security-Resource Optimization Framework for Cloud-Edge-IoT Collaboration in Industrial Applications

The integration of cloud, edge, and IoT ecosystems has transformed industrial operations, enabling real-time data processing, scalable solutions, and efficient resource utilization. However, the reliability of such systems is often compromised by challenges related to trust evaluation, security vulnerabilities, and resource allocation. This paper presents a critical review of stateof-the-art methodologies in these domains, drawing insights from recent advancements such as visual cryptography, QoS-aware optimization, and collaborative security frameworks. The paper highlights gaps in existing solutions, including vulnerabilities to reputation attacks and inefficiencies in resource provisioning for dynamic industrial applications. Finally, recommendations for future research are provided, focusing on blockchain integration, AI-driven trust mechanisms, and energy-efficient resource optimization.