Data Security and Privacy for Outsourced Data in the Cloud

Although outsourcing data to cloud storage has become popular, the increasing concerns about data security and privacy in the cloud blocks broader cloud adoption. Ensuring data security and privacy, therefore, is crucial for better and broader adoption of the cloud. This tutorial provides a comprehensive analysis of the state-of-the-art in the context of data security and privacy for outsourced data management. We aim to cover common security and privacy threats, and relevant novel schemes and techniques with their design choices regarding security, privacy, functionality, and performance. Our explicit focus is on recent schemes from both the database and the cryptography and security communities that enable query processing over encrypted data stored in cloud storage systems. The tutorial will overview recent advances about secure searchable encryption schemes, oblivious RAM techniques, full-fledged secure database management systems, and present an emerging trend that combines differential privacy to cryptography for increasing performance or security in secure data management systems. The hands-on tutorial will then focus on this last line of work, guiding the audience along the implementation and the evaluation of a differentially private querying system.


Amr El Abbadi is a Professor of Computer Science at the University of California, Santa Barbara. He received his B. Eng. from Alexandria University, Egypt, and his Ph.D. from Cornell University. Prof. El Abbadi is an ACM Fellow, AAAS Fellow, and IEEE Fellow.  He was Chair of the Computer Science Department at UCSB from 2007 to 2011.  He has served as a journal editor for several database journals, including, The VLDB Journal, IEEE Transactions on Computers and The Computer Journal. He has been Program Chair for multiple database and distributed systems conferences. He currently serves on the executive committee of the IEEE Technical Committee on Data Engineering (TCDE) and was a board member of the VLDB Endowment from 2002 to 2008. In 2007, Prof. El Abbadi received the UCSB Senate Outstanding Mentorship Award for his excellence in mentoring graduate students. In 2013, his student, Sudipto Das received the SIGMOD Jim Gray Doctoral Dissertation Award. Prof. El Abbadi is also a co-recipient of the Test of Time Award at EDBT/ICDT 2015. He has published over 300 articles in databases and distributed systems and has supervised over 35 PhD students.

Tristan Allard is an associate professor (« maître de conférences ») since September 2014 at Univ Rennes, CNRS, Irisa. he is also a fixed term (March 2020 to March 2023) associate professor (« professeur associé ») at the Université du Québec à Montréal (for co-supervising a joint PhD thesis between UQAM and UR1). Before that, he was a postdoctoral researcher at the Inria Zenith team in Montpellier. I conducted my Ph.D. thesis in Computer Science in the Inria SMIS team and received it from the University of Versailles in December 2011.

The volume, variety, and velocity of digital personal data are increasing at a fast pace. Enabling both daily uses and large-scale analysis of personal data while preserving individuals’ privacy is a key challenge in building a knowledge society. His research interests lie within this wide field. He is particularly interested in the combination of differential privacy with cryptography (privacy-preserving data querying, privacy-preserving crowdsourcing, privacy-preserving data mining). And recently he got diverted by the study of browser fingerprints for web authentication.