The University of Texas Dallas has received two grants worth $1 million from the National Science Foundation for data security and privacy research. Purdue University, UT Dallas’ partner, will receive half the amount.
The larger of the grants the increasingly common practice of cross-matching datasets to support various activities involving intelligence, counterterrorism, forensics and disease control, according to a statement by the university.
“Because those datasets may contain privacy-sensitive or confidential information, the use of efficient privacy-preserving protocols for cross-matching different datasets is crucial,” said Dr. Murat Kantarcioglu, an assistant professor of computer science and director of the University’s Data Security and Privacy Lab.
The research is looking toward a new approach, which will keep privacy while providing more accurate information.
“The approach developed in this project expands the opportunities and contexts for data use by enabling the cross-match of multiple data archives, possibly owned by different parties, without violating the privacy of the data,” Kantarcioglu said.
The second grant will be used to develop a comprehensive approach for data quality in sensor networks.
“This project focuses on cases where there may be a malicious attacks launched to decrease the quality of sensor network data,” Kantarcioglu said. “Consider a sensor network created to monitor a battlefield, for example. An adversary may launch multiple attacks to feed false information through the network. Our goal is to create tools that can help design sensor networks that can provide high-quality data even under malicious attacks.”