兹定于2014年10月17日（星期5）上午10:00在电信系会议室（南一楼中302室）举行学术讲座，欢迎广大教职员工踊跃参加。

Title: Secure Crowdsourcing-based Cooperative Spectrum Sensing

Abstract:
Cooperative (spectrum) sensing is a key function for dynamic spectrum
access (DSA) and is essential for avoiding interference with licensed
primary users and identifying spectrum opportunities. A promising
method for effective cooperative sensing over a large geographic
region is to adopt emerging crowdsourcing paradigm whereby a special
spectrum-sensing providers (SSP) outsources spectrum-sensing tasks to
distributed mobile users. In CCSS, mobile users submit their spectrum
sensing reports to SSP, which in turn combine multiple sensing reports
to decide licensed primary users' activities. Crowdsourcing-based
cooperative spectrum sensing is, however, vulnerable to malicious
sensing data injection attack, in which a malicious CR users submit
false sensing reports containing power measurements much larger (or
smaller) than the true value to inflate (or deflate) the final
average, in which case the SSP may falsely determine that the channel
is busy (or vacant).
In this talk, I will present a secure combination scheme that can
reliably detect primary users' activities even when the majority of
spectrum-sensing reports are forged.

Bio:
Rui Zhang is currently an assistant professor in the Department of
Electrical Engineering at the University of Hawaii. He received the
Ph.D. degree in Electrical Engineering from the Arizona State
University in 2013, the B.E. degree in Communication Engineering and
M.E. degree in Communication and Information Systems both from
Huazhong University of Science and Technology, China. He was a
software engineer at UTStarcom, Shenzhen, from 2005 to 2007. His
primary research interests are security and privacy issues in network
and distributed systems, including  cognitive radio networks,
mobile/online social networks, mobile sensing, crowdsourcing,
mobile/wireless health, cloud computing, and smart grids. He serves on
the technical program committees of several premier conferences,
including INFOCOM, ASIACCS, SECON and CNS. He has published in
journals including IEEE Journal on Selected Areas in Communications,
IEEE Transactions on Parallel and Distributed Systems, IEEE
Transactions on Dependable and Secure Computing, IEEE Transactions on
Wireless Communications. He is a member of both IEEE and ACM.

报告题目：“基于众包的合作频谱感知中的安全保护”

报告人：张锐，美国夏威夷大学电子工程系助理教授

内容：合作频谱感知是动态频谱接入中避免干扰特许用户频谱活动和确定频谱利用机会的一个关键技术。当需要在广阔的区域内进行合作频谱感知的时候，一种简单而高效的方式是采用众包这一新兴的模式。在此模式下，频谱感知服务提供商将频谱感知的任务外包给分布式移动用户，收集来自移动用户的频谱感知报告，并根据多个频谱报告决定特许用户的频谱活动。基于众包的合作频谱感知中存在的一个主要安全隐患在于移动用户伪造频谱感知报告导致服务提供商错误判定特许用户的频谱活动。这次报告将介绍在大多数频谱感知报告是伪造的情况下如何正确决定特许用户的频谱活动。

报告人简介：张锐现为美国夏威夷大学电子工程系助理教授。他先后于2001和2005年在华工科技大学获得学士和硕士学位，并于2013年在美国亚利桑那州立大学获得电子工程博士学位。他曾与2005至2007年间任职于深圳UT斯达康。他目前主要从事网络和分布式系统中的安全和隐私保护研究，包括认知无线电网络，在线与移动社交网络，移动传感系统，移动众包系统，移动和无线医疗保健，云计算和智能电网。他目前担任多个国际会议的技术程序委员会委员（包括INFOCOM，ASIACCS,
SECON，CNS等）。他的研究成果被发表于IEEE Journal on Selected Areas in
Communications, IEEE Transactions on Parallel and Distributed Systems,
IEEE Transactions on Dependable and Secure Computing, IEEE
Transactions on Wireless Communications等期刊。他是IEEE和ACM的会员。