It is widely accepted that wireless channels decorrelate fast over space, and half a wavelength is the key distance metric used in existing wireless physical layer security mechanisms for security assurance. We believe that this channel correlation model is incorrect in general: it leads to wrong hypothesis about the inference capability of a passive adversary and results in false sense of security, which will expose the legitimate systems to severe threats with little awareness. In this project, we focus on establishing correct modeling of channel correlation in wireless environments of interest, and properly evaluating the safety distance metric of existing and emerging wireless security mechanisms, as well as cyber-physical systems employing these security mechanisms. Upon successful completion of the project, the expected outcome will allow us to accurately determine key system parameters (e.g., the security zone for secrete key establishment from wireless channels) and confidently assess the security assurance in wireless security mechanisms. More importantly, the results will correct the previous misconception of channel de-correlation, and help security researchers develop new wireless security mechanisms based on a proven scientific foundation.
TEAM
PIs: Huaiyu Dai, Peng Ning Student: Xiaofan He
Understanding the Fundamental Limits in Passive Inference of Wireless Channel Characteristics