Project Grant 2232813

This $599,996 National Science Foundation project grant supports research at Augusta University Research Institute, Inc. to develop new techniques for securely querying massive scientific datasets in cloud environments. Specifically, the grant funds research to extend the state-of-the-art in encrypted data querying methods to better support the distinct characteristics of scientific data and typical queries. Key areas of focus include developing new encryption and query processing techniques to address challenges with equality-based selection, multi-dimensional range selection, and value-similarity joins. The project also aims to design scale and efficiency-oriented solutions, and evaluate overhead and information leakage risks using real scientific use cases. A $99,996 subaward to the University of Connecticut supports complementary work designing adjustable join schemes without a priori table knowledge and cryptographic schemes based on existing order-preserving techniques, along with proofs of security. The research directly supports the National Science Foundation's Computer and Information Science and Engineering program goal of advancing computing and informatics research.