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Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles." IEEE Transactions on Vehicular Technology 69, no. 4 (2020): 4298-4311.
"Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics." IEEE Transactions on Industrial Informatics 16, no. 3 (2020): 2134-2143.
"Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems." IEEE Network 34, no. 3 (2020): 50-56.
"Blockchain and Federated Learning for Privacy-preserved Data Sharing in Industrial IoT." IEEE Transactions on Industrial Informatics (Early Access) (2019).
"Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks." IEEE Internet of Things Journal (2018).
08489897.pdf (11.57 MB)
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On-demand Pseudonym Systems in Geo-distributed Mobile Cloud Computing In IEEE International Conference on Cyber Security and Cloud Computing (IEEE CS Cloud): Best Paper Award. IEEE, 2016.
Software Defined Networking with Pseudonym Systems for Secure Vehicular Clouds." IEEE Access 4 (2016): 3522-3534.
"Cooperative Resource Management in Cloud-enabled Vehicular Networks." IEEE Transactions on Industrial Electronics 62, no. 12 (2015): 7938-7951.
"MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks." IEEE Transactions on Dependable and Secure Computing 13, no. 1 (2015): 93-105.
"An Optimal Replenishment Strategy in Energy Harvesting Wireless Networks with A Mobile Charger In QSHINE 2015 (Best Paper Award)., 2015.