@article {26440,
	title = {Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks},
	journal = {IEEE Internet of Things Journal},
	year = {2018},
	month = {10/2018},
	publisher = {IEEE},
	abstract = {The drastically increasing volume and the growing trend on the types of data have brought in the possibility of realizing advanced applications such as enhanced driving safety, and have enriched existing vehicular services through data sharing among vehicles and data analysis. Due to limited resource of vehicles, mobile edge computing integrated with vehicular networks gives rise to Vehicular Edge COmputing and Networks (VECONs) for providing powerful computing and massive storage resources. However, vehicular edge computing servers consisted of roadside units cannot be fully trusted, which may result in serious security and privacy challenges. We exploit consortium blockchain and smart contract technologies to achieve secure data storage and sharing in vehicular edge networks. These technologies efficiently prevent data sharing without authorization. In addition, we propose a reputation based data sharing scheme to ensure high-quality data sharing among vehicles. A three-weight subjective logic model is utilized for precisely managing reputation of the vehicles. Numerical results based on a real dataset show that our schemes achieve reasonable efficiency and high-level security for data sharing in VECONs.},
	author = {Kang, J. and Yu, R. and Huang, X. and Yu, M. and Maharjan, Sabita and Xie, S. and Zhang, Yan}
}
@inproceedings {24549,
	title = {On-demand Pseudonym Systems in Geo-distributed Mobile Cloud Computing},
	journal = {IEEE International Conference on Cyber Security and Cloud Computing (IEEE CS Cloud): Best Paper Award},
	year = {2016},
	note = {Won the Best Paper Award (IEEE CSCloud 2016)},
	publisher = {IEEE},
	abstract = {Geo-distributed mobile cloud computing (GMCC) integrates location information into mobile cloud computing, that has high potential for a large variety of applications. In a vehicular environment, a GMCC provides a large number of resources to vehicles that are geographically close to them. However, there are few studies that focus on security and privacy pseudonym management in GMCC system for vehicular environment. We design a three-layer on-demand pseudonym system to manage the pseudonyms. Moreover, we propose a secure pseudonym distribution scheme for secure communication among vehicles. As the number of demanded pseudonyms varies with traffic loads in different clouds, we use a newsvendor model to address the optimal on-demand pseudonym distribution problem. Numerical results indicate our proposed schemes not only improve utility of the clouds, but also maximize utilization of pseudonyms.},
	author = {Kang, J. and Yu, R. and Huang, X. and Maharjan, Sabita and Zhang, Yan}
}
@article {24545,
	title = {Software Defined Networking with Pseudonym Systems for Secure Vehicular Clouds},
	journal = {IEEE Access},
	volume = {4},
	year = {2016},
	month = {04/2016},
	pages = {3522-3534},
	publisher = {IEEE},
	abstract = {The vehicular cloud is a promising new paradigm, where vehicular networking and mobile cloud computing are elaborately integrated to enhance the quality of vehicular information services. Pseudonym is a resource for vehicles to protect their location privacy, which should be efciently utilized to secure vehicular clouds. However, only a few existing architectures of pseudonym systems take exibility and efciency into consideration, thus leading to potential threats to location privacy. In this paper, we exploit software-dened networking technology to signicantly extend the exibility and programmability for pseudonym management in vehicular clouds. We propose a software-dened pseudonym system, where the distributed pseudonym pools are promptly scheduled and elastically managed in a hierarchical manner. In order to decrease the system overhead due to the cost of inter-pool communications, we leverage the two-sided matching theory to formulate and solve the pseudonym resource scheduling. We conducted extensive simulations based on the real map of San Francisco. Numerical results indicate that the proposed software-dened pseudonym system signicantly improves the pseudonym resource utilization, and meanwhile, effectively enhances the vehicles\&$\#$39; location privacy by raising their entropy.},
	issn = {2169-3536 },
	doi = {10.1109/ACCESS.2016.2560902},
	author = {Huang, X. and Yu, R. and Kang, J. and Wang, N. and Maharjan, Sabita and Zhang, Yan}
}
@inproceedings {24525,
	title = {Adaptive Rate Control in Smart Grid Heterogenous Communications Networks},
	journal = {IEEE CIT 2015 (Best Paper Award)},
	year = {2015},
	author = {Zhong, W. and Yu, R. and Zhang, Yan and Gao, Y. and Gjessing, Stein}
}
@article {23618,
	title = {Decentralized and Optimal Resource Cooperation in Geo-distributed Mobile Cloud Computing},
	journal = {IEEE Transactions on Emerging Topics in Computing},
	year = {2015},
	publisher = {IEEE Transactions on Emerging Topics in Computing},
	abstract = {Mobile cloud computing is a key enabling technology in the era of Internet-of-Things. Geo-distributed mobile cloud computing (GMCC) is a new scenario that adds geography consideration in mobile cloud computing. In GMCC, users are able to access cloud resource that are geographically close to their mobile devices. This is expected to reduce communications delay and service providers\&rsquo; cost compared to the traditional centralized approach. In this paper, we focus on resource sharing through cooperation among service providers in geo-distributed mobile cloud computing. Then, we propose two different strategies for efficient resource cooperation in geographically distributed data centers. Further, we present a coalition game theoretical approach to deal with the competition and cooperation among service providers. Utility functions have been specifically considered to incorporate the cost related to virtual machine migration and resource utilization. Illustrative results indicate that our proposed schemes are able to efficiently utilize limited resource with Quality-of-Service (QoS) consideration.},
	keywords = {cooperation, game theory, Mobile cloud computing, resource management},
	author = {Yu, R. and Ding, J. and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan and Tsang, Danny}
}
@article {23724,
	title = {Investigation of Transmission Schemes for Millimeter-Wave Massive MU-MIMO Systems},
	journal = {IEEE Systems Journal},
	volume = {PP},
	year = {2015},
	month = {12/2015},
	pages = {1-12},
	publisher = {IEEE},
	author = {Han, Y. and Jin, S. and Li, X. and Zhang, H. and Yu, R. and Zhang, Yan}
}
@inproceedings {24523,
	title = {An Optimal Replenishment Strategy in Energy Harvesting Wireless Networks with A Mobile Charger},
	journal = {QSHINE 2015 (Best Paper Award)},
	year = {2015},
	author = {Yu, R. and Huang, X. and Kang, J. and Yuen, C. and Vinel, A. and Jonsson, Magnus and Gjessing, Stein and Zhang, Yan}
}
@inproceedings {24522,
	title = {Price-based Energy Control for V2G Networks in the Industrial Smart Grid},
	journal = {INISCOM 2015 (Best Paper Award)},
	year = {2015},
	author = {Yu, R. and Ding, J. and Zhong, W. and Zhang, Yan and Gjessing, Stein and Vinel, A. and Jonsson, Magnus}
}
