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Volume 43 Issue 6
Jun.  2021
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Pengjun WANG, Lewei LI, Yangong ZHENG, Gang LI. High Steady-state Physical Unclonable Function Generator Based on Gas Sensors[J]. Journal of Electronics & Information Technology, 2021, 43(6): 1596-1602. doi: 10.11999/JEIT201104
Citation: Pengjun WANG, Lewei LI, Yangong ZHENG, Gang LI. High Steady-state Physical Unclonable Function Generator Based on Gas Sensors[J]. Journal of Electronics & Information Technology, 2021, 43(6): 1596-1602. doi: 10.11999/JEIT201104

High Steady-state Physical Unclonable Function Generator Based on Gas Sensors

doi: 10.11999/JEIT201104
Funds:  The National Natural Science Foundation of China(61874078, 61871244), The National Key Research and Development Program of China(2018YFB2202100), The Ningbo Public Welfare Projects(202002N3134), The Science and Technology Innovation Project of Ningbo University(2021SRIP1327)
  • Received Date: 2020-12-31
  • Rev Recd Date: 2021-04-12
  • Available Online: 2021-04-21
  • Publish Date: 2021-06-18
  • As a strategic emerging industry, the Internet of Things (IoT) has become a national development focus, but it also faces various security threats in practical applications. Ensuring the security of data transmission, processing and storage of resource-constrained IoT systems has become a research hotspot. In this paper, a high steady-state Physical Unclonable Function(PUF) generator scheme is proposed by studying PUF and the deviation of the sensor preparation process. Firstly, the Electrostatic Spray Deposition (ESD) is used to generate nanofibers with high specific surface area characteristics and high-temperature calcination technology is combined to prepare Pd-SnO2 gas sensors. Secondly, the response data of gas sensors to formaldehyde gas is collected under different gas concentration, ambient temperature and heating voltage conditions. Then, a random resistance multi-bit balance algorithm is used to compare the response data of different clusters of gas sensors and then multiple high steady-state PUF data is generated. Finally, the safety and reliability of the designed PUF generator are evaluated. Experimental results show that the randomness of the PUF generator is 97.03%, the reliability is 97.85%, and the uniqueness is 49.04%, which can be widely used in IoT security field.
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