Projects

Research Experiences for Undergraduates (REU) ,Project Manager/Co-ordinator, UT Arlington(CSE/MobiSec)

The Research Experiences for Undergraduates (REU) program supports active research participation by undergraduate students in any of the areas of research funded by the National Science Foundation. REU projects involve students in meaningful ways in ongoing research programs or in research projects specifically designed for the REU program. This solicitation features two mechanisms for support of student research: (1) REU Sites are based on independent proposals to initiate and conduct projects that engage a number of students in research. REU Sites may be based in a single discipline or academic department or may offer interdisciplinary or multi-department research opportunities with a coherent intellectual theme. Proposals with an international dimension are welcome. (2) REU Supplements may be included as a component of proposals for new or renewal NSF grants or cooperative agreements or may be requested for ongoing NSF-funded research projects

Building Reliable Network of Unreliable Things, SUNY BUFFALO

Recent years have witnessed the rise of Internet of Things (IoT), a newly emergent networking paradigm that connects humans and the physical world through ubiquitous sensing, computing, and communicating devices. With the ultimate goal of building reliable, robust, and secure IoT systems that are usually composed of multitudes of unreliable wireless devices - sometimes even carried by malicious users - this project develops TRIP, a 3-in-1 integrated framework of TRuth discovery, Incentive, and Privacy preserving mechanisms for IoT systems. This framework consists of 1) a truth discovery mechanism that can distill true information from the deluge of sensory data generated by the ubiquitous IoT devices, 2) a security and privacy mechanism that can not only protect user privacy but also defend against malicious attack, and 3) an incentive mechanism that can select reliable participants in order to maximize the quality of collected information.

Selected Publication(s): [1]

Physical Layer Identification, SUNY BUFFALO

In wireless communications, the usage of electromagnetic (EM) waves as signal carrier grants both significant challenges and unique opportunities to users' security and privacy. On the one hand, as the EM waves propagate anywhere within the physics limit through line-of-sight, reflection, diffraction, and refraction paths, it is possible for impostors within the range to participate in the wireless communication. On the other hand, physical waveforms transmitted by any wireless device are inherently stamped with unique features in the physical layer of the communication, which can be utilized to identify impostors and classify authorized users. Such device identification solutions are defined as Wireless Physical-Layer Identification (WPLI) techniques. While the conventional software-level device identifications (e.g., IP or MAC address) can be easily changed by malware, the physical layer feature cannot be modified without significant effort. This project focuses on the promising WPLI technique for future wireless security solutions.