scholarly journals Physical layer security with uncoordinated helpers implementing cooperative jamming

2012 ◽  
Author(s):  
Shuangyu Luo ◽  
Jiangyuan Li ◽  
Athina Petropulu
Keyword(s):  
Physical Layer Security ◽  
Physical Layer ◽  
Cooperative Jamming

scholarly journals Cooperative secure transmission against collusive eavesdroppers in Internet of Things

2020 ◽  
Vol 16 (6) ◽  
pp. 155014772093346
Author(s):  
Xin Fan ◽  
Yan Huo
Keyword(s):  
Internet Of Things ◽  
Outage Probability ◽  
Physical Layer Security ◽  
Physical Layer ◽  
Secrecy Outage Probability ◽  
Cooperative Jamming ◽  
Energy Limitation ◽  
Noise Ratio ◽  
Secrecy Outage ◽  
Secure Transmission

As Internet of Things (IoT) has boomed in recent years, many security issues have also been exposed. Focusing on physical layer security in wireless Internet of Things network communication, a series of security methods have been widely studied. Nevertheless, cooperative jamming methods in physical layer security to fight against collusive eavesdroppers have not been thoroughly studied yet. In this article, we study a cooperative-jamming-based physical layer secure transmission scheme for Internet of Things wireless networks in the presence of collusive eavesdroppers. We design a cooperative jamming strategy without knowing the channel state information of eavesdroppers. Considering the cooperation of multiple nodes with multiple antennas, this strategy can maximize the signal-to-interference-plus-noise ratio at an actuator (legitimate receiver). Meanwhile, the generated cooperative jamming signals can reduce the signal-to-interference-plus-noise ratio at eavesdroppers. To explore the theoretical security performance of our strategy, we perform a secrecy outage probability analysis and an asymptotic analysis. In the cases of cooperative jamming and without cooperative jamming, the closed-form expressions of the secrecy outage probability are deduced, and the influence of system parameters on the secrecy outage probability becomes more intuitive through a strict mathematical asymptotic behavior analysis. In addition, considering the energy limitation of Internet of Things devices, we propose a power allocation algorithm to minimize the total transmission power given the security requirements. The numerical results show the effectiveness of our schemes and are consistent with the theoretical analysis.

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