Smart City Gnosys
Smart city article details
| Title | Effective And Secure Task Offloading In Iot Edge Computing Through A Multi-Feedback Trust Mechanism |
|---|---|
| ID_Doc | 22047 |
| Authors | Sivakumar S.; Abraham M.; Babu J.J.; Perumal V.; Polepaka S.; Senthilkumar C. |
| Year | 2023 |
| Published | Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023 |
| DOI | http://dx.doi.org/10.1109/ICAAIC56838.2023.10140318 |
| 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. © 2023 IEEE. |
| Author Keywords | Edge Computing; Internet Of Things; Multi-Feedback; Offloading; Smart City |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
59076  | 0.919 | Alazab M.; Manogaran G.; Montenegro-Marin C.E. | Trust Management For Internet Of Things Using Cloud Computing And Security In Smart Cities | Cluster Computing, 25, 3 (2022) |
| 59095 | 0.882 | Zeng P.; Liu A.; Zhu C.; Wang T.; Zhang S. | Trust-Based Multi-Agent Imitation Learning For Green Edge Computing In Smart Cities | IEEE Transactions on Green Communications and Networking, 6, 3 (2022) |
| 21438 | 0.878 | Jedidi A. | Dynamic Trust Security Approach For Edge Computing-Based Mobile Iot Devices Using Artificial Intelligence | Engineering Research Express, 6, 2 (2024) |
| 18089 | 0.877 | Ullah F.; Salam A.; Amin F.; Khan I.A.; Ahmed J.; Zaib S.A.; Choi G.S. | Deep Trust: A Novel Framework For Dynamic Trust And Reputation Management In The Internet Of Things (Iot)-Based Networks | IEEE Access, 12 (2024) |
| 59074 | 0.876 | Mao H.; Wu X.; Wang J. | Trust Maintenance In Iot For Smart Cities With Complex Network Metrics | Proceedings - 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023 (2023) |
| 59073 | 0.875 | Hatti D.I.; Sutagundar A.V. | Trust Induced Resource Provisioning (Tirp) Mechanism In Iot | 4th International Conference on Computer, Communication and Signal Processing, ICCCSP 2020 (2020) |
| 59106 | 0.873 | Wang X.; Zhang C.; Chang X. | Trusted Management Infrastructure With Blockchain For Edge Device In Smart City | 5th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2022 (2022) |
| 4511 | 0.87 | Roshan R.; Matam R.; Mukherjee M.; Lloret J.; Tripathy S. | A Secure Task-Offloading Framework For Cooperative Fog Computing Environment | Proceedings - IEEE Global Communications Conference, GLOBECOM (2020) |
| 20660 | 0.868 | Hickert C.; Tekeoglu A.; Maurio J.; Watson R.; Syed D.; Chavis J.; Brown G.; Sookoor T. | Distributed Ledgers For Enhanced Machine-To-Machine Trust In Smart Cities | Proceedings - International Conference on Computer Communications and Networks, ICCCN, 2022-July (2022) |
| 28585 | 0.866 | Shen M.; Xu K.; Du X.; Reed M.J.; Bhuiyan M.Z.A.; Zhang L.; Mijumbi R. | Guest Editorial Special Issue On Trust-Oriented Designs Of Internet Of Things For Smart Cities | IEEE Internet of Things Journal, 7, 5 (2020) |