Secure physical-layer key generation protocol and key encoding in wireless communications

Author(s):  
Apirath Limmanee ◽  
Werner Henkel
Entropy ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. 497 ◽  
Author(s):  
Guyue Li ◽  
Chen Sun ◽  
Junqing Zhang ◽  
Eduard Jorswieck ◽  
Bin Xiao ◽  
...  

The fifth generation (5G) and beyond wireless communications will transform many exciting applications and trigger massive data connections with private, confidential, and sensitive information. The security of wireless communications is conventionally established by cryptographic schemes and protocols in which the secret key distribution is one of the essential primitives. However, traditional cryptography-based key distribution protocols might be challenged in the 5G and beyond communications because of special features such as device-to-device and heterogeneous communications, and ultra-low latency requirements. Channel reciprocity-based key generation (CRKG) is an emerging physical layer-based technique to establish secret keys between devices. This article reviews CRKG when the 5G and beyond networks employ three candidate technologies: duplex modes, massive multiple-input multiple-output (MIMO) and mmWave communications. We identify the opportunities and challenges for CRKG and provide corresponding solutions. To further demonstrate the feasibility of CRKG in practical communication systems, we overview existing prototypes with different IoT protocols and examine their performance in real-world environments. This article shows the feasibility and promising performances of CRKG with the potential to be commercialized.


Author(s):  
Rushan Lin ◽  
Li Xu ◽  
He Fang ◽  
Chuan Huang

AbstractWireless communications between two devices can be protected by secret keys. However, existing key generation schemes suffer from the high bit disagreement rate and low bit generation rate. In this paper, we propose an efficient physical layer key generation scheme by exploring the Received Signal Strength (RSS) of signals. In order to reduce the high mismatch rate of the measurements and to increase the key generation rate, a pair of transmitter and receiver separately apply adaptive quantization algorithm for quantifying the measurements. Then, we implement a randomness extractor to further increase key generation rate and ensure randomness of generated of keys. Several real-world experiments are implemented to verify the effectiveness of the proposed scheme. The results show that compared with the other related schemes, our scheme performs better in bit generation rate, bit disagreement rate, and randomness.


IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 4464-4477 ◽  
Author(s):  
Junqing Zhang ◽  
Roger Woods ◽  
Trung Q. Duong ◽  
Alan Marshall ◽  
Yuan Ding ◽  
...  

2019 ◽  
Vol 137 ◽  
pp. 32-43 ◽  
Author(s):  
Furui Zhan ◽  
Zixiang Zhao ◽  
Yuhua Chen ◽  
Nianmin Yao

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