@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}
}
@article {25417,
	title = {Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains},
	journal = {IEEE Transactions on Industrial Informatics},
	volume = {13},
	year = {2017},
	month = {05/2017},
	pages = {3154 - 3164},
	publisher = {IEEE},
	abstract = {We propose a localized Peer-to-Peer (P2P) electricity trading model for locally buying and selling electricity among Plug-in Hybrid Electric Vehicles (PHEVs) in smart grids. Unlike traditional schemes, that transport electricity over long distances and through complex electricity transportation meshes, our proposed model achieves demand response by providing incentives to discharging PHEVs to balance local electricity demand out of their own self-interests. However, since transaction security and privacy protection issues present serious challenges, we explore a promising consortium blockchain technology to improve transaction security without reliance on a trusted third party. A localized P2P Electricity Trading system with COnsortium blockchaiN (PETCON) method is proposed to illustrate detailed operations of localized P2P electricity trading. Moreover, the electricity pricing and the amount of traded electricity among PHEVs are solved by an iterative double auction mechanism to maximize social welfare in this electricity trading. Security analysis shows that our proposed PETCON improves transaction security and privacy protection. Numerical results based on a real map of Texas indicate that the double auction mechanism can achieve social welfare maximization while protecting privacy of the PHEVs.},
	keywords = {Consortium blockchain, decentralized energy trading, double auction, plug-in hybrid electric vehicles (PHEVs), security and privacy},
	issn = {1941-0050},
	doi = {10.1109/TII.2017.2709784},
	author = {Kang, Jiawen and Yu, Rong and Huang, Xumin and Maharjan, Sabita and Zhang, Yan and Hossain, Ekram}
}
@article {25274,
	title = {Software Defined Energy Harvesting Networking for 5G Green Communications},
	journal = {IEEE Wireless Communications Magazine},
	volume = {24},
	year = {2017},
	pages = {38-45},
	publisher = {IEEE Wireless Communication Magazine},
	abstract = {Energy and spectrum resources play significant roles in fifth generation (5G) communication systems. In industrial applications of the 5G era, green communications are a great challenge for sustainable development of networks. Energy harvesting technology is a promising approach to prolong network lifetime. In energy harvesting networks, nodes may replenish energy from a mobile charger to overcome variations of renewable energy. In this article, energy-rich nodes are stimulated to upload surplus energy to the mobile charger, leading to a bidirectional energy flow. This creates a new paradigm that energy flows coexist with data flows, which gives rise to new problems on controlling the energy flows and the data flows. Software defined networking enables centralized control to optimize flow scheduling. We propose a Software Defined Energy Harvesting Network (SD-EHN) architecture for 5G green communications. In the SD-EHN, the data plane, the energy plane and the control plane are decoupled to support flexible energy scheduling and improve energy efficiency, thus to facilitate sustainability in energy harvesting networks. A scenario with a mobile charger acting as a mobile data collector is presented to introduce an energy trading model in SD-EHN. We use stochastic inventory theory to determine the optimal energy storage levels of the nodes. A Nash bargaining game is proposed to solve the benefit allocation problem for energy trading. Numerical results indicate that SD-EHN optimizes energy utilization and saves energy.},
	doi = {10.1109/MWC.2017.1600360},
	author = {Huang, Xumin and Yu, Rong and Kang, Jiawen and Gao, Yue and Maharjan, Sabita and Gjessing, Stein 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}
}
@article {23726,
	title = {Cooperative Resource Management in Cloud-enabled Vehicular Networks},
	journal = {IEEE Transactions on Industrial Electronics},
	volume = {62},
	year = {2015},
	month = {12/2015},
	pages = {7938-7951},
	publisher = {IEEE},
	author = {Yu, Rong and Huang, X. and Kang, Jiawen and Ding, Jiefei and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@inproceedings {23831,
	title = {Dynamic Resource Pricing and Scalable Cooperation for Mobile Cloud Computing},
	journal = {The 15th IEEE International Conference on Scalable Computing and Communications (Best paper award)},
	year = {2015},
	month = {08/2015},
	publisher = {IEEE},
	abstract = {Mobile cloud computing is a new paradigm to improve the quality of mobile services, which has drawn considerable attentions in both industrial and academic fields. In this paper, we consider the resource management and sharing problems for radio and computing resources to support mobile applications in mobile cloud computing. In such an environment, service providers can cooperate to form coalition to share their idle resources with each other. We propose a coalition game model based on two-sided matching theory. The coalition game model efficiently reflects the scalable cooperation among the service providers for sharing their idle resources. As a result, the resources can be better utilized and the quality of service for users can be improved. The simulation results indicate that our scheme can optimize the resource utilization and significantlyimprove the quality of service of the users.},
	author = {Huang, Xumin and Yu, Rong and Kang, Jiawen and Ding, Jiefei and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@article {23514,
	title = {MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks},
	journal = {IEEE Transactions on Dependable and Secure Computing},
	volume = {13},
	year = {2015},
	month = {01/2016},
	pages = {93-105},
	publisher = {IEEE},
	author = {Yu, Rong and Kang, Jiawen and Huang, X. and Xie, Shengli and Zhang, Yan and Gjessing, Stein}
}
@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}
}
@article {23495,
	title = {Toward Secure Energy Harvesting Cooperative Networks},
	journal = {IEEE Communications Magazine},
	volume = {53},
	year = {2015},
	month = {08/2015},
	pages = {114-121},
	publisher = {IEEE},
	abstract = {Energy harvesting cooperative networks is an emerging technology that has very high potential for a large variety of applications. However, the energy transfer capability may lead to unprecedented security challenges. In this paper, we will study energy security issues and the solutions in energy harvesting networks. We first identify typical energy related attacks and then propose defense solutions against these attacks. We also carry out security analysis and performance analysis to evaluate our proposed solutions. Simulation results have shownthat the proposed defense solutions are effective and efficient.},
	keywords = {cooperative relay, energy attack, Energy harvesting cooperative networks, security and defense},
	author = {Kang, Jiawen and Yu, Rong and Maharjan, Sabita and Zhang, Yan and Huang, Xumin and Xie, Shengli and Bogucka, Hanna and Gjessing, Stein}
}
