Abstract: Supporting time-varying privacy needs of users is a challenging and important problem. A time-varying privacy model captures privacy needs of individuals as a function of time and allows relaxed privacy preferences on data that is sufficiently old, enabling individuals to share older data with a generous privacy budget. A key feature in supporting time-varying privacy includes a system level capability to make private data protected until their pre-determined release time while making them automatically appear at the release time. Making private data accessible at a future point in time calls for new mechanisms for self emergence of data that enables data to become available at a future release time and prior to the release time, the data remains undiscovered and unavailable in a secure distributed system. This talk discusses our recent research efforts on the development of self-emerging data release protocols and their ability to support time-varying privacy requirements of individuals in a distributed environment. We will demonstrate how our self-emerging data release protocol can be leveraged to develop a secure one-time data publication scheme that supports dynamic time-varying and multi-level privacy, allowing data users to obtain the level of information entitled to them as a function of time.
Bio: Balaji Palanisamy is an Assistant Professor in the School of Information Science at the University of Pittsburgh. His research interests include system privacy and performance optimization in Distributed Systems and Cloud Computing. At University of Pittsburgh, he co-directs re-search in the Laboratory of Research and Education on Security Assured Information Systems (LERSAIS), which is one of the ?rst group of NSA/DHS designated Centers of Academic Excellence in Information Assurance Education and Research (CAE CAE-R). He is a recipient of the Best Paper Award in the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing IEEE/ACM CCGrid 2015 and the Best Paper Award in the 5th International Conference on Cloud Computing, IEEE CLOUD 2012. Prior to joining University of Pittsburgh, he obtained the MS and PhD degrees in Computer Science from Georgia Institute of Technology in 2009 and 2013 respectively.Since 2016, he has been serving as an Associate Editor for the IEEE Transactions on Services Computing, IEEE TSC journal and currently serves as the chair of the IEEE Communications Society for the Pittsburgh Chapter.