Smart City Gnosys

Smart city article details

Title Glsbiot: Gwo-Based Enhancement For Lightweight Scalable Blockchain For Iot With Trust Based Consensus
ID_Doc 28104
Authors Padma A.; Ramaiah M.
Year 2024
Published Future Generation Computer Systems, 159
DOI http://dx.doi.org/10.1016/j.future.2024.05.008
Abstract Blockchain technology, which has gained much attention from researchers, faces challenges when applied to resource-constrained devices in the Internet of Things (IoT). These challenges include significant network overhead and energy-intensive processes. We propose a trust-based ensemble consensus and Grey Wolf Optimization (GWO) algorithm to address these limitations. The trust-based ensemble consensus leverages Proof of Work (PoW) and Proof of Stake (PoS) consensus procedures to improve trust levels within the network. To boost scalability and throughput without sacrificing the security and privacy of IoT data, we utilize sidechaining with the efficient GWO algorithm, allowing the construction of parallel chains connected to the main blockchain. Our experimental results outperformed conventional models by increasing throughput by 12.5% while decreasing mining delay by 19.5% and energy usage by 18.3%. The conducted security analysis reveals the presented lightweight framework is robust against Finney, DoS, Sybil, and Masquerade attacks. These improvements suggest the potential of this approach to provide privacy, integrity, and anonymity in blockchain-enabled IoT systems for smart city applications. © 2024 Elsevier B.V.
Author Keywords Attacks; Blockchain; Ensemble consensus; GWO; IoT; Sidechain


Similar Articles

Id Similarity Authors Title Published
921 View0.87Padma A.; Ramaiah M.; Ravi V.A Comprehensive Review Of Lightweight Blockchain Practices For Smart Cities: A Security And Efficacy AssessmentJournal of Reliable Intelligent Environments, 11, 3 (2025)
12702 View0.867Oh T.Blockchain-Enabled Security Enhancement For Iot Networks: Integrating Leach Algorithm And Distributed Ledger TechnologyJournal of Machine and Computing, 5, 1 (2025)
506 View0.865Meybodian E.; Mostafavi S.; Ebrahimi M.A Blockchain-Based Hierarchical Trust Management Scheme For Iot7th International Conference on Internet of Things and Applications, IoT 2023 (2023)
7855 View0.864Kadu R.; Kadu A.An Efficient Incremental Learning Bioinspired Model For Improving Qos Of Blockchain-Based Large-Scale Wireless Networks2024 3rd International Conference for Innovation in Technology, INOCON 2024 (2024)
21657 View0.863Xu R.; Nagothu D.; Chen Y.Ecom: Epoch Randomness-Based Consensus Committee Configuration For Iot BlockchainsPrinciples and Practice of Blockchains (2022)
38042 View0.86Tian J.; Tian J.; Du R.Mslshard: An Efficient Sharding-Based Trust Management Framework For Blockchain-Empowered Iot Access ControlJournal of Parallel and Distributed Computing, 185 (2024)
17680 View0.857Islam R.; Bose R.; Roy S.; Khan A.A.; Sutradhar S.; Das S.; Ali F.; AlZubi A.A.Decentralized Trust Framework For Smart Cities: A Blockchain-Enabled Cybersecurity And Data Integrity ModelScientific Reports, 15, 1 (2025)
11840 View0.856Goyat R.; Kumar G.; Conti M.; Devgun T.; Saha R.; Thomas R.Benigreen: Blockchain-Based Energy-Efficient Privacy-Preserving Scheme For Green IotIEEE Internet of Things Journal, 10, 18 (2023)
36975 View0.856Xu R.; Chen Y.; Blasch E.Microchain: A Light Hierarchical Consensus Protocol For Iot SystemsEAI/Springer Innovations in Communication and Computing (2021)
36097 View0.856Sanghami S.V.; Lee J.J.; Hu Q.Machine-Learning-Enhanced Blockchain Consensus With Transaction Prioritization For Smart CitiesIEEE Internet of Things Journal, 10, 8 (2023)