PROJECT TITLE :

Security-Aware Waveforms for Enhancing Wireless Communications Privacy in Cyber-Physical Systems via Multipath Receptions - 2017

ABSTRACT:

Cyber-physical system (CPS), thought to be the next generation of designed system, has the potential to interact with the $64000 physical world. Applications of CPS span various fields such as medical monitoring, traffic management, and smart grid. With such widespread applications, privacy assurance is changing into a lot of and additional necessary since what the CPS connects are people and the real world. Any leakage of non-public info can cause serious consequences. In this paper, we have a tendency to specialise in enhancing the secrecy of wireless communications in CPS by use of physical layer security techniques. Specifically, we tend to study an amplify and forward (AF) relay network where all devices are equipped with one antenna. We tend to propose a privacy-enhanced waveform design approach aided by artificial noise (AN) to reinforce the communication secrecy in a very wireless surroundings with multipath receptions. Initial, we contemplate the case with good eavesdropper’s channel state information (CSI). We have a tendency to optimize the AF coefficient for forwarding the data-bearing signal and therefore the AN covariance to maximize the achievable secrecy rate. The optimal resolution is obtained by solving a series of semidefinite programs. Then, a additional practical state of affairs with imperfect eavesdropper’s CSI is studied. We develop a sturdy waveform design methodology and acquire the lower bound of the achievable secrecy rate. Numerical results are presented to indicate the effectiveness of our proposed algorithms..