Professor Yingying Chen has won a new NSF award for the project titled "Exploiting Physical Properties in Wireless Networks for Implicit Authentication." This is a three year $499,950 collaborative effort between Rutgers University (Yingying Chen, PI, lead institute) and Indiana University. Rutgers' share of this award is $339,950.
In this project, Yingying and her team will build a holistic framework that leverages fine-grained radio signals available from the commercial wireless networks to perform implicit user/device authentication. The proposed research reveals that the fine-grained signal properties in wireless networks are capable to capture unique physiological and behavioral characteristics from humans in their daily activities. The research team will develop smart segmentation on the wireless signals and identify unique features that enable the capability of distinguishing individuals. They will further develop deep learning techniques to authenticate people based on their daily activities in the physical environments. The authentication process does not need active user involvement or require the user to wear any device. This project also develops efficient techniques to detect the presence of user spoofing and localize attackers to facilitate the employment of a broad array of defense strategies. The proposed research will advance knowledge in exploiting the physical layer information in wireless networks to capture unique physiological and behavioral characteristics through people's daily activities.
You can find more details on the project at the NSF page: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1716500&HistoricalAwards=false