伟德安卓版

伟德安卓版 > 学术信息 > 正文

学术信息

伟德安卓版:特内华大学张锐副教授学术报告通知

来源: 点击: 时间:2021年05月27日 09:11


 

报告题目:Secure Database-Driven Dynamic Spectrum Sharing

 

    人:Rui Zhang, University of Delaware, Associate Professor

 

报告形式:腾讯会议  会议 ID:792 874 642

 

报告时间:202165日(星期六)上午9:00-10:15

 

报告简介:Database-driven Dynamic Spectrum Sharing (DSS) is the de facto technical paradigm approved by Federal Communications Commission (FCC) for increasing wireless spectrum access by allowing unlicensed wireless devices (secondary users) with cognitive radio capabilities to have more flexible and efficient access to the radio spectrum without causing interference to licensed wireless devices (primary users). In a database-driven DSS system, a geo-location database administrator (DBA) manages secondary users' spectrum access based on the real-time spectrum availability in its service region. An effective approach to improve the spectrum-estimation accuracy in database-driven DSS systems is for the DBA to deploy a small number of dedicated spectrum sensors at strategic locations and outsources the majority of spectrum-sensing tasks to ubiquitous mobile users whereby to construct and maintain a Radio Environmental Map (REM) from periodically collected spectrum measurements. The feasibility of this approach is deeply rooted in the explosive growth in mobile devices with increasing capabilities in sensing, computation, communication, and localization. Security and privacy concerns are among the most challenging obstacles to the wide deployment of database-driven DSS systems armed with spectrum-sensing outsourcing. In this talk, I will present two case studies about the security and privacy challenges in database-driven DSS systems. Specifically, I will introduce a novel spatiotemporal approach to allow the DBA to construct an accurate REM in the presence of false spectrum measurements. Then I will present a novel private-preserving reverse auction mechanism to stimulate mobile users’ participation in crowdsourced spectrum sensing while ensuring high REM accuracy, approximate truthfulness, and differential bid privacy.

 

讲者简介:Rui Zhang received the B.E. in Communication Engineering and the M.E. in Communication and Information System from Huazhong University of Science and Technology, China, in 2001 and 2005, respectively, and the Ph.D. in Electrical Engineering from Arizona State University, in 2013. He is currently an Associate Professor in the Department of Computer and Information Sciences at the University of Delaware. Prior to joining UD, he was an Assistant Professor in the Department of Electrical Engineering at the University of Hawaii from 2013 to 2016 and a software engineer in UTStarcom Shenzhen R&D center from 2005 to 2007. His research interests are the security and privacy issues in wireless networks, mobile crowdsourcing, cloud/edge computing, and social networks. He is currently on the editorial boards of Wireless Networks and EAI Transactions on Security and Safety and regularly serve on the technical program committee for various conferences such as IEEE INFOCOM, IEEE CNS, IEEE SECON, and ACM ASIACCS. He received the US NSF CAREER Award in 2016.

 

His homepage is https://www.eecis.udel.edu/~ruizhang/.

 

 

  • 常用系统:
  • 伟德安卓版
  • |
  • 伟德安卓版行政管理系统
  • |
  • 会议预订系统
  • |

联系方式:0731-88879336 地址:湖南省长沙市岳麓区伟德安卓版计算机楼

Copyright ? 2017-2019 伟德安卓版 All Rights Reserved.

伟德安卓版 | 管理员登录 | 院长信箱
伟德安卓版-韦德安卓客户端