学术讲座
学术讲座
 基地新闻 
 学术讲座 
Secure and privacy-aware data analysis for large data in cloud
2016-06-16

  

   讲座名称:Secure and privacy-aware data analysis for large data in cloud
   讲座时间:2016年6月16日上午9:30
   讲座地点:北校区新科技楼609会议室
   讲座摘要:Abstract: The wide presence of large data and the increasing popularity of storing data in the cloud drive the needs for graph query processing on a remote cloud. But a fundamental challenge is to process user queries without compromising sensitive information. This talk will present the challenges and techniques one can develop for secure and privacy-aware query processing on the cloud. We will show two examples: privacy preserving subgraph matching in a cloud server and secure query processing over encrypted data. We will also briefly talk about ORAM that are employed to hide access patterns.
   讲座人:Feifei Li
   简介:
   Feifei Li is currently an associate professor at the School of Computing, University of Utah. He obtained his Bachelor's degree from Nanyang Technological University (transferred from Tsinghua University) in 2001 and PhD from Boston University in 2007. Hisresearch focuses on improving the scalability, efficiency, and effectiveness of database and big data systems. He also works on datasecurity problems in these systems.He was a recipient for an NSF career award in 2011 , two HP IRP awards in 2011 and 2012 respectively, a Google App Engine award in 2013, an IEEE ICDE best paper award in 2004, the IEEE ICDE 10+ Years Most Influential Paper Award in 2014, a Google Faculty award in 2015, and a SIGMOD Best Demonstration Award in SIGMOD 2015. He was the demo PC co-chair for VLDB 2014, the general co-chair for SIGMOD 2014, a PC area chair for ICDE 2014 and SIGMOD 2015, and currently serves as an associate editor for IEEE TKDE.

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