@article {25829,
	title = {Multi-Method Data Delivery for Green Sensor-Cloud},
	journal = {IEEE Communications Magazine},
	volume = {55},
	year = {2017},
	pages = {176-182},
	publisher = {IEEE},
	author = {Zhu, Chunsheng and Victor C. M. {Leung} and Wang, Kun and Laurence T. {Yang} and Zhang, Yan}
}
@inproceedings { AINA2017-PathMgt,
	title = {On the Path Management of Multi-Path TCP in Internet Scenarios based on the NorNet Testbed},
	journal = {Proceedings of the IEEE International Conference on Advanced Information Networking and Applications (AINA)},
	year = {2017},
	month = {03/2017},
	publisher = {IEEE},
	address = {Taipei, Taiwan/People{\textquoteright}s Republic of China},
	abstract = {With the rapid development of Internet communications, there is a growing demand to support devices being connected to multiple Internet service providers simultaneously. For example, every modern smartphone already provides at least mobile broadband (UMTS, LTE) as well as Wi-Fi interfaces. This multi-homing property can be used for resilience, but there is also an increasing interest in making use of concurrent multi-path transport. That is, multiple network paths can be utilised simultaneously, in order to improve the payload throughput for applications like big data or cloud computing. In this paper, we examine the performance of multi-path transport in real-world Internet setups, based on Multi-Path TCP (MPTCP) in the NorNet testbed for multi-homed systems. However, systems in such challenging setups need proper configuration. Therefore, we particularly would like to highlight the performance impact of different path management and congestion control settings in such realistic scenarios.},
	keywords = {Configuration, congestion control, Multi-Path TCP (MPTCP), Multi-Path Transport, Path Management, Resilience},
	doi = {10.1109/AINA.2017.29},
	author = {Wang, Kun and Dreibholz, Thomas and Zhou, Xing and Fu, Fa and Tan, Yuyin and Cheng, Xi and Tan, Qining},
	editor = {Takizawa, Makoto and Barolli, Leonard}
}
@article {25275,
	title = {Strategic Honeypot Game Model for Distributed Denial of Service Attacks in the Smart Grid},
	journal = {IEEE Transactions on Smart Grid},
	volume = {8},
	year = {2017},
	month = {02/2017},
	pages = {2474 - 2482},
	publisher = {IEEE},
	abstract = {Advanced Metering Infrastructure (AMI) is an important component for a smart grid system to measure, collect, store, analyze and operate users consumption data. The need of communication and data transmission between consumers (smart meters) and utilities make AMI vulnerable to various attacks. In this paper, we focus on Distributed Denial of Service (DDoS) attack in the AMI network. We introduce honeypots into the AMI network as a decoy system to detect and gather attack information. We analyze the interactions between the attackers and the defenders, and derive optimal strategies for both sides. We further prove the existence of several Bayesian-Nash Equilibriums (BNEs) in the honeypot game. Finally, we evaluate our proposals on an AMI testbed in the smart grid, and the results show that our proposed strategy is effective in improving the efficiency of defense with the deployment of honeypots.},
	issn = {1949-3061},
	doi = {10.1109/TSG.2017.2670144},
	author = {Wang, Kun and Du, Miao and Maharjan, Sabita and Sun, Yanfei}
}
@article {25831,
	title = {Toward Big Data in Green City},
	journal = {IEEE Communications Magazine},
	volume = {55},
	year = {2017},
	pages = {14-18},
	publisher = {IEEE},
	doi = {10.1109/MCOM.2017.1700142},
	author = {Zhu, Chunsheng and Zhou, Huan and Victor C. M. {Leung} and Wang, Kun and Zhang, Yan and Laurence T. {Yang}}
}
@article {25826,
	title = {Wireless Big Data Computing in Smart Grid},
	journal = {IEEE Wireless Communications},
	volume = {24},
	year = {2017},
	pages = {58-64},
	publisher = {IEEE},
	issn = {1536-1284},
	doi = {10.1109/MWC.2017.1600256WC},
	author = {Wang, Kun and Wang, Yunqi and Hu, Xiaoxuan and Sun, Yanfei and Deng, Der-Jiunn and Vinel, Alexey and Zhang, Yan}
}
