2021-06-28
浏览次数：1320报告人：Jianbing Ni
报告时间：2021年7月2日（周五）上午9：00
报告地点：宏生科技大楼632
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电子与信息学院
2021年6月28日
报告摘要：
The proliferation of smart mobile and IoT devices has led to unprecedented amount of data generated at the edge. This trend has generated strong interests in pushing storage and computing capabilities to network edges, to fully unleash the potential of edge big data. By exploiting the storage and computing resources at the network edge, popular data can be temporarily maintained on cache-enabled edge nodes (e.g., macro base stations, Wi-Fi access points, and roadside infrastructure) for handling frequent data access requests from mobile users. Since the cached contents are delivered directly from edge nodes instead of from the remote cloud, it significantly reduces service latency, decreases network load, and improves user experience. Despite the appealing benefits of edge caching, it is vulnerable to a variety of cyber attacks, which results in huge concerns of security and privacy. In this talk, we give a brief introduction about edge caching and its security and privacy concerns. We first review the motivation for content caching running at the network edge. Then, an overview of the architecture, including content placement and content delivery, and related key enabling technologies for edge caching are provided. After that, we discuss the research challenges of the security and privacy in content placement and content delivery. Finally, we propose a secure byzantine-robust federated learning architecture for content placement and a service-oriented and location-based efficient key distribution protocol for content delivery as examples in response to secure and privacy-preserving mobile edge caching.
报告人简介：
Dr. Jianbing Ni is currently an Assistant Professor at the Department of Electrical and Computer Engineering and an Assistant Professor at the Ingenuity Labs Research Institute, Queen’s University. He worked as a Postdoctoral Research Fellow at the Department of Electrical and Computer Engineering, University of Waterloo from Sept. 2018-Jun. 2019. He received the PhD degree in Electrical and Computing Engineering (with cybersecurity focus) at the University of Waterloo in August, 2018, he obtained his B.S. degree on Information Security and the M.E. degree on Computer Science from the University of Electronic Science and Technology of China, China, in 2011 and 2014, respectively. His research interests include wireless communication and network security, mobile computing security, machine learning security, and Blockchain technology. Jianbing has extensive publications at prestigious journals, such as IEEE Transactions on Dependable and Secure Computing, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, and IEEE Communications Surveys and Tutorials. He is the recipient of seven best paper awards from highly selective conferences, including EAI SECURECOMM 2016, IEEE GLOBECOM 2017, IEEE ICC 2018, and IEEE/CIC ICCC 2020.