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Dongdong Ye
Researcher at Guangdong University of Technology
Publications - 19
Citations - 1898
Dongdong Ye is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Server & Vehicular ad hoc network. The author has an hindex of 8, co-authored 17 publications receiving 1020 citations.
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Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things
TL;DR: This work exploits the consortium blockchain technology to propose a secure energy trading system named energy blockchain, which can be widely used in general scenarios of P2P energy trading getting rid of a trusted intermediary and a credit-based payment scheme to support fast and frequent energy trading.
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Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory
TL;DR: Li et al. as discussed by the authors proposed a two-stage soft security enhancement solution: miner selection and block verification, which evaluates candidates' reputation using both past interactions and recommended opinions from other vehicles The candidates with high reputation are selected to be active miners and standby miners in order to prevent internal collusion among active miners.
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Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach
TL;DR: A selective model aggregation approach is proposed, where “fine” local DNN models are selected and sent to the central server by evaluating the local image quality and computation capability, and demonstrated to outperform the original federated averaging approach in terms of accuracy and efficiency.
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Securing parked vehicle assisted fog computing with blockchain and optimal smart contract design
TL;DR: This work leverages the blockchain technology to achieve decentralized PVFC, a system where network activities in computation offloading become transparent, verifiable and traceable to eliminate security risks.
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Incentivizing Consensus Propagation in Proof-of-Stake Based Consortium Blockchain Networks
TL;DR: Performance evaluation validates the feasibility and efficiency of the proposed game model in consensus propagation and applies the backward induction to analyze the existence and uniqueness of the Stackelberg equilibrium.