Data Science Talk Series 

Building a Secure mHealth Data Sharing Infrastructure over Named Data Networking (Online)

Abstract: Exploratory efforts in mobile health (mHealth) data collection and sharing have achieved promising results. However, fine-grained contextual access control and real-time data sharing are two of the remaining challenges in enabling temporally-precise mHealth intervention. We have developed an NDN-based system called mGuard to address these challenges. mGuard provides a pub-sub API to let users subscribe to real-time mHealth data streams, and uses name-based access control policies and key-policy attribute-based encryption to grant fine-grained data access to authorized users based on contextual information. We evaluate mGuard’s performance using synthetic data generated based on the format and characteristics of data collected by the MD2K project.

Bio of the speaker: Dr. Lan Wang is the Faudree University Professor in the Department of Computer Science at the University of Memphis. She earned her B.S. in Computer Science at Peking University in 1997 and her Ph.D. from the University of California, Los Angeles in 2004.  She served as the Computer Science department chair at University of Memphis from 2016  to 2023, and as a Program Director in the NSF Engineering Research Centers program from 2023 to 2025. Her research interests include Network Architecture and Protocol Design, Security and Privacy, Wireless Mobile Health, Smart Cities, Autonomous Systems, and Internet Measurement.  In recognition of her scholarship and service, Dr. Wang received the Willard R. Sparks Eminent Faculty Award, the highest distinction given to a faculty member by the University of Memphis, in 2022.