TY - GEN
T1 - A Physical Layer Security Scheme with Compressed Sensing in OFDM-based IoT Systems
AU - Liu, Jingwei
AU - Hu, Qin
AU - Suny, Rong
AU - Duz, Xiaojiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - The Internet of Things (IoT) features pervasive sensing and control capabilities by deploying a massive machinetype communication (MTC) devices. However, low hardware complexity, low processing capacity and constrained energy of MTC devices raise lots of challenges to communication and security. Therefore, physical layer security (PLS) appears to be a promising method for securing wireless communication in which orthogonal frequency division multiplexing (OFDM) is widely used. However, most existing OFDM-based PLS schemes possess little dynamicity for their secret keys derived from pre-extracted information. The combination of OFDM and compressed sensing (CS) is a remarkable approach to address the weakness. So, with compressed sensing, we propose a physical layer security scheme for OFDM-based IoT systems, named PLSSCS. It can address the demerit of key extraction by channel measuring instead of preextracted information. To evaluate the performance of PLSSCS, the simulation is carried out in MATLAB, and PLSSCS provides better performance with dynamic property.
AB - The Internet of Things (IoT) features pervasive sensing and control capabilities by deploying a massive machinetype communication (MTC) devices. However, low hardware complexity, low processing capacity and constrained energy of MTC devices raise lots of challenges to communication and security. Therefore, physical layer security (PLS) appears to be a promising method for securing wireless communication in which orthogonal frequency division multiplexing (OFDM) is widely used. However, most existing OFDM-based PLS schemes possess little dynamicity for their secret keys derived from pre-extracted information. The combination of OFDM and compressed sensing (CS) is a remarkable approach to address the weakness. So, with compressed sensing, we propose a physical layer security scheme for OFDM-based IoT systems, named PLSSCS. It can address the demerit of key extraction by channel measuring instead of preextracted information. To evaluate the performance of PLSSCS, the simulation is carried out in MATLAB, and PLSSCS provides better performance with dynamic property.
UR - http://www.scopus.com/inward/record.url?scp=85089520217&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85089520217&partnerID=8YFLogxK
U2 - 10.1109/ICC40277.2020.9149096
DO - 10.1109/ICC40277.2020.9149096
M3 - Conference contribution
AN - SCOPUS:85089520217
T3 - IEEE International Conference on Communications
BT - 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings
T2 - 2020 IEEE International Conference on Communications, ICC 2020
Y2 - 7 June 2020 through 11 June 2020
ER -