Physical Layer Key Generation Method Based on SVD Pre-processing


  • Zehui Liu State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
  • Min Guo State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
  • Yun Ju North China Electric Power University, Beijing, China



Wireless channels, physical layer keys, feature pre-processing, key consistency


Environmental factors such as channel noise and hardware fingerprints affect the encryption effect of physical layer key generation techniques, resulting in low consistency of generated keys. Feature pre-processing is a common means of improving consistency of keys. However, most of the existing feature pre-processing algorithms improve key consistency by sacrificing key generation rate, which is not very usable. Therefore, it is proposed a physical layer key generation method based on SVD pre-processing. This method uses the SVD feature processing algorithm to pre-process the channel features extracted from both sides of the communication before quantization, in order to simultaneously improve key consistency and key generation rate. The simulation results show that when the channel SNR is greater than 10 dB, the BER of the SVD scheme is significantly lower compared to the scheme without pre-processing and the DCT and PCA pre-processing schemes; when the SNR is greater than 20 dB, the SVD scheme KGR can reach a level of 10bit/s, which is significantly higher than the other three schemes. The results show that this scheme can significantly increase the key generation rate while effectively improving key consistency.


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Author Biographies

Zehui Liu, State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China

Zehui Liu received the bachelor’s degree in communication engineering from Beijing Jiaotong University in 2012, and the philosophy of doctorate degree in communication and information systems from Beijing Jiaotong University in 2017, respectively. He is currently working as an senior engineer at the State Grid Shanxi Electric Power Company Electric Power Research Institute.

Min Guo, State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China

Min Guo received the bachelor’s degree in electrical engineering and automation from Taiyuan Science and Technology University in 2015, and the master’s degree in electronic and communication engineering from Inner Mongolia Technology University in 2019, respectively. She is currently working as an assistant engineer at the State Grid Shanxi Electric Power Company Electric Power Research Institute.

Yun Ju, North China Electric Power University, Beijing, China

Yun Ju received the Master and Ph.D. degrees from the School of Control and Computer Engineering, North China Electric Power University, Beijing, in 2006 and 2014, respectively. He is currently an lecturer in School of Control and Computer Engineering, North China Electric Power University, China. His current research interests include computer science and control engineering. He has authored or co-authored more than 50 publications.


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How to Cite

Liu Z, Guo M, Ju Y. Physical Layer Key Generation Method Based on SVD Pre-processing. JCSANDM [Internet]. 2023 Jan. 31 [cited 2023 May 31];11(06):777–794. Available from:



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