Effective and Secure Task Offloading in IoT Edge Computing through a Multi-feedback Trust Mechanism

Abstract

The Industrial Internet of Things emerged as an outcome of merging IoT infrastructure with conventional trade, and it quickly gained widespread interest. Offloading choices were done via Edge Computing. Due to bandwidth constraints, a multi-hop device with conflicting network architectures may struggle. In the social sensor cloud, edge computing devices may independently analyze and store data and provide faster multi-feedback. Partially offloading multi-hop computation and active network management causes network issues. Current research ignores task completion time inefficiency. This article suggested cooperative multi-task comprehensive unloading and a scheduling network to minimize job completion time. It's necessary to protect against all forms of security threats, but one that can significantly worsen the service environment and reduce its dependability is an assault from within the system. A uniform and fine-grained trust management system is needed to address the risks of internal attacks and boost Industrial IoT QoS. The proliferation of IoT-enabled gadgets means that end users may now contribute to the smart city by way of their own mobile devices (including personal smart wearables, smartphones, etc.) or sensors. Identifying reliable participants is a major obstacle for the device sensing layer of the IoT's edge computing platform in the clever city. To enhance the edge computer network of the IoT in the smart city, a generates a significant list-based technique for recommending smart systems was presented to overcome the challenge of choosing trustworthy players. This research study suggests a novel method for managing trust in organizations and analyze its theoretical and empirical soundness and stability. The reliability of the trust management system was established. The real situation of the individual health tracking control system and the environmental analysis and tracking system in the smart city validated the efficacy of the trust management mechanism. Experiments validated the importance of the trust control mechanism suggested in this research in fostering collaboration amongst diverse intelligence at the IoT's edge computing nodes. The smart city's massive IoT edge computing infrastructure can benefit from its increased resilience to harmful assaults on providers.