Title:

Querying Cloud Data with Confidentiality and Integrity Assurance (Slides)

Abstract:

With the advent of Big Data, there has been a rising trend of outsourcing data to the cloud, which provides query services to clients on behalf of data owners. While the cloud-based model is appealing in terms of scalability, elasticity and self-manageability, it brings new challenges to query processing. In particular, the service provider might be compromised, thereby causing security threats to data privacy and query integrity. As such, supporting secure queries with confidentiality and integrity assurance is imperative for outsourced cloud databases. In this talk, we will present some of our recent efforts on privacy-preserving data search and authenticated query processing. We will also discuss some possible future research directions.

Bio:

Jianliang Xu is a Professor in the Department of Computer Science, Hong Kong Baptist University (HKBU). He received the BEng degree from Zhejiang University and the PhD degree from Hong Kong University of Science and Technology. He held visiting positions at Pennsylvania State University and Fudan University. His research interests include data management, database security & privacy, and location-aware computing. He has published more than 150 technical papers in these areas, most of which appeared in leading journals and conferences including SIGMOD, VLDB, ICDE, TODS, TKDE and VLDBJ, with an h-index of 38 (Google Scholar). He was a recipient of IEEE ICDE Outstanding Reviewer Award (2010) and HKBU Faculty Performance Award for Outstanding Young Researcher (2012). He has served as a program co-chair/vice chair for a number of major international conferences including IEEE ICDCS 2012, IEEE CPSNA 2015 and WAIM 2016. He is an Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE).

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