@article {27387,
	title = {Blockchain Empowered Cooperative Authentication with Data Traceability in Vehicular Edge Computing},
	journal = {IEEE Transactions on Vehicular Technology},
	volume = {69},
	year = {2020},
	pages = { 4221 - 4232},
	publisher = { IEEE},
	abstract = {The dynamic environment due to traffic mobility and wireless communication from/to vehicles make identity authentication and trust management for privacy preservation based on vehicular edge computing (VEC) an increasingly important problem in vehicular networks. However, existing authentication schemes mainly focus on communication between a single trusted edge computing node and multiple vehicles. This framework may suffer the bottleneck problem due to the single edge computing node, and the performance depends heavily on its resources. In this paper, a blockchain empowered group-authentication scheme is proposed for vehicles with decentralized identification based on secret sharing and dynamic proxy mechanism. Sub-authentication results are aggregated for trust management based blockchain to implement collaborative authentication. The edge computing node with a higher-reputation stored in the tamper-proof blockchain can upload the final aggregated authentication result to the central server to achieve the decentralized authentication. This work analyzes typical attacks for this scheme and shows that the proposed scheme achieves cooperative privacy preservation for vehicles while also reducing communication overhead and computation cost.},
	author = {Liu, H. and Zhang, P. and Pu, G. and Yang, Tao and Maharjan, Sabita}
}
@article {27381,
	title = {Deep Reinforcement Learning for Social-Aware Edge Computing and Caching in Urban Informatics},
	journal = { IEEE Transactions on Industrial Informatics},
	volume = {16},
	year = {2020},
	pages = {5467 - 5477},
	publisher = { IEEE},
	abstract = {Empowered with urban informatics, transportation industry has witnessed a paradigm shift. These developments lead to the need of content processing and sharing between vehicles under strict delay constraints. Mobile edge services can help meet these demands through computation offloading and edge caching empowered transmission, while cache-enabled smart vehicles may also work as carriers for content dispatch. However, diverse capacities of edge servers and smart vehicles, as well as unpredictable vehicle routes, make efficient content distribution a challenge. To cope with this challenge, in this article we develop a social-aware nobile edge computing and caching mechanism by exploiting the relation between vehicles and roadside units. By leveraging a deep reinforcement learning approach, we propose optimal content processing and caching schemes that maximize the dispatch utility in an urban environment with diverse vehicular social characteristics.},
	author = {Zhang, K. and Cao, J. and Liu, H. and Maharjan, Sabita and Zhang, Yan}
}
@article {Simula.simula.2412,
	title = {Role-Dependent Privacy Preservation for Secure V2G Networks in the Smart Grid},
	journal = {IEEE Transactions on Information Forensics \& Security},
	volume = {9},
	number = {2},
	year = {2014},
	pages = {208-220},
	author = {Liu, H. and Ning, H. and Zhang, Yan and Xiong, Q. and Yang, L.}
}
@article {Simula.simula.1764,
	title = {Battery Status-Aware Authentication Scheme for V2G Networks in Smart Grid},
	journal = {IEEE Transactions on Smart Grid},
	volume = {4},
	number = {1},
	year = {2013},
	pages = {99-110},
	author = {Liu, H. and Ning, H. and Zhang, Yan and Guizani, M.}
}
@article {Simula.simula.1756,
	title = {Grouping-Proofs Based Authentication Protocol for Distributed RFID Systems},
	journal = {IEEE Transactions on Parallel and Distributed Systems},
	volume = {24},
	number = {7},
	year = {2013},
	pages = {1321-1330},
	author = {Liu, H. and Ning, H. and Zhang, Yan and He, D. and Xiong, Q. and Yang, L.}
}
@article {Simula.simula.2414,
	title = {Securing Vehicle-to-Grid Communications in the Smart Grid},
	journal = {IEEE Wireless Communications},
	volume = {20},
	number = {6},
	year = {2013},
	pages = {66-73},
	author = {Zhang, Yan and Gjessing, Stein and Liu, H. and Ning, H. and Yang, L. and Guizani, M.}
}
@article {Simula.simula.1758,
	title = {Aggregated-Proofs Based Privacy-Preserving Authentication for V2G Networks in Smart Grid},
	journal = {IEEE Transactions on Smart Grid},
	volume = {3},
	number = {4},
	year = {2012},
	month = {december},
	pages = {1722-1733},
	author = {Liu, H. and Ning, H. and Zhang, Yan and Yang, L.}
}
@article {Simula.simula.948,
	title = {Scalable and Distributed Key Array Authentication Protocol in RFID-Based Sensor Systems},
	journal = {IET Communications},
	volume = {5},
	number = {12},
	year = {2011},
	pages = {1755-1768},
	publisher = {IEEE},
	author = {Ning, H. and Liu, H. and Mao, J. and Zhang, Yan}
}
