I am a Post-Doc in Department of Computer Science at the University of California, Irvine, USA.
Building a secure and privacy-preserving IoT sensor data-driven system that captures user-related data and requires the development of security techniques to deal with a high velocity and volume of data for consent management, data storage according to data retention policies, and data processing.
Building a secure and privacy-preserving system for collaborative computations over the sensor data and that requires the development of scalable security techniques that can learn ML models over a large volume of datasets.
Post-Doc advisor: Prof. Sharad Mehrotra
I completed my Ph.D. in Department of Computer Science at Ben-Gurion University of the Negev, Beersheva, Israel.
I am blessed to become an academic son of Prof. Shlomi Dolev and getting guidance from Prof. Jeffrey Ullman during my Ph.D. work as well as in present.
Email: shantanu[DOT]sharma[AT]uci[DOT]edu, toshantanusharma[AT]gmail[DOT]com
Obscure: Information-Theoretic Oblivious and Verifiable
[Full version (in IEEE TKDE)]
Peeyush Gupta, Yin Li, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, and Sumaya Almanee
Proceedings of the VLDB Endowment, Vol. 12, No. 9., 2019.
Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, and Anurag Mishra
35th IEEE International Conference on Data Engineering (IEEE ICDE), pp. 650-661, China, April, 2019.
Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, and Shantanu Sharma
Proceedings of the International Conference on Management of Data (ACM SIGMOD), 2021.
IoT Notary: Sensor Data Attestation in Smart Environment
Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian, Mamadou H. Diallo, and Ardalan Amiri Sani
(The first two authors have an equal contribution.)
18th IEEE International Symposium on Network Computing and Applications (IEEE NCA) Cambridge, MA, USA, Sept 26-28, 2019.
Best Paper Award