Abstract
We consider the problem of designing the measurement matrix for high dimensional signal detection based on compressed measurements while ensuring physical layer secrecy. We assume that the network operates in the presence of an eavesdropper who intends to discover the state of the nature being monitored. To keep the data secret from the eavesdropper, we propose to use cooperating trustworthy nodes that assist the fusion center by injecting artificial noise to deceive the eavesdropper. We design measurement matrices to obtain compressed data at distributed nodes so that the detection performance of the network is maximized while guaranteeing a certain level of secrecy. The design of optimal measurement matrices depends on the signal being detected, and we provide solution considering three different scenarios: 1) the signal is known; 2) the signal lies in a low dimensional subspace; and 3) the signal is sparse. We show that the detection performance of the system can be improved while guaranteeing a certain level of secrecy by using optimized measurements along with noise injection based techniques.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
