Increasing User Capacity of Wireless Physical-Layer Identification in Internet of Things

2016 ◽  
Author(s):  
Wenhao Wang ◽  
Zhi Sun ◽  
Kui Ren ◽  
Bocheng Zhu
Keyword(s):  
Internet Of Things ◽  
Physical Layer ◽  
User Capacity

Beyond Crypto: Physical-Layer Security for Internet of Things Devices

2020 ◽  
Vol 12 (4) ◽  
pp. 66-78
Author(s):  
Rabia Tugce Yazicigil ◽  
Phillip M. Nadeau ◽  
Daniel D. Richman ◽  
Chiraag Juvekar ◽  
Saurav Maji ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Physical Layer Security ◽  
Physical Layer

scholarly journals Physical Layer Detection and Security of Printed Chipless RFID Tag for Internet of Things Applications

2021 ◽  
Author(s):  
Grishma Khadka ◽  
Biplob Ray ◽  
Jinho Choi ◽  
Nemai Karmakar
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Physical Layer Security ◽  
Low Cost ◽  
Cost Effective ◽  
Physical Layer ◽  
Sight Reading ◽  
Iot Applications ◽  
Chipless Rfid ◽  
Physical Attributes

<div>This paper has proposed detection and physical layer security provision for printed sensory tag systems for internet of things (IoT) applications. The printed sensory tags can be a very cost-effective way to speed up the proliferation of the intelligent world of IoT. The printed Radio Frequency Identification (RFID) of a sensory tag is chipless with the fully printable feature, non-line-of-sight reading, low cost, and robustness to the environment. The detection and adoption of security features for such tags in a robust environment are still challenging. This paper initially presents a robust technology for detecting tags using both the amplitude and phase information of the frequency signature. After successfully identifying tag IDs, the paper presents novel physical layer security using a deep learning model to prevent the cloning of tags. Our experiment shows that the proposed system can detect and identify the unique physical attributes of the tag and isolate the clone tag from the genuine tag. It is believed that such real-time and precise detection and security features bring this technology closer to commercialisation for IoT applications.</div>

scholarly journals Enhancing Physical Layer Security in Internet of Things via Feedback: A General Framework

2020 ◽  
Vol 7 (1) ◽  
pp. 99-115 ◽  
Author(s):  
Bin Dai ◽  
Zheng Ma ◽  
Yuan Luo ◽  
Xuxun Liu ◽  
Zhuojun Zhuang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Physical Layer Security ◽  
General Framework ◽  
Physical Layer

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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