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Shalu, Singh, Virdee, Bal Singh and Khanna, Ashish (2026) Improving the security and reliability of cloud-integrated WSNs with a dynamic trust framework. In: 2026 6th International Conference on Emerging VLSI and Semiconductor Technology for AI and Computing Applications (EVST), 26-27, Ghaziabad, Uttar Pradesh, India.
Wireless sensor networks (WSNs) coupled with cloud computing solutions are scalable, centralized storage, and processing with large scale monitoring applications. However, such integration intensifies security, trust, and resource-management issues due to limited resources of WSNs and distributed and multi-tenant characteristics of cloud platforms. In this study a dynamic trust framework has been proposed that is specific to cloud-integrated WSNs which combines direct and indirect trust, contextual behavior checking, reputation scoring with a fuzzy-logic trust fusion engine. The model relies on the concepts of data trust, communication reliability, energy trust, and behavioral anomalies to compute node trustworthiness, makes it possible to update trust periodically, and has a trust-sensitive isolation protocol. The model is deployed in CloudSim environment and evaluated under attack conditions and demonstrates superior malicious-node detection, high packet delivery rates, and prolonged network lifetime with acceptable energy overheads. The findings show that the framework can be applied in the real-life cloud-WSN deployments.
Available under License Creative Commons Attribution 4.0.
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