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| Efficient Design of Truly Random Seed Generator Based on SRAM Physical Unclonable Functions |
| LI Bing① TU Yunjing① CHEN Shuai① JI Jianhua② |
①(School of Integrated Circuit, Southeast University, Nanjing 210000, China)
②(College of Information Engineering, Shenzhen University, Shenzhen 518060, China) |
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Abstract An efficient design of truly random seed generator based on SRAM Physical Unclonable Functions (PUFs) is proposed in this paper. Only the noisy cells of high min-entropy are selected to generate full entropy seeds in this design. Therefore, it can reduce the amount of data to be processed significantly and improve the efficiency of seed generation. The oscillating characteristics of the noisy cells inside SRAM are measured, and screening strategies for filtering out the selected noisy cells inside the SRAM are put forward. Finally, based on the strategies, a truly random seed generator is designed, which can generate full entropy seeds. The length of seeds generated by this design is from 128 bit to 256 bit. The number of the selected cells which are used to generate seeds is from 0.5% to 4% of all SRAM cells. Compared to the current design, it is shown that the proposed design in this paper is efficient and widely applicable.
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Received: 15 August 2016
Published: 07 March 2017
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| Fund: The National Natural Science Foundation of China (61571116) |
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Corresponding Authors:
CHEN Shuai
E-mail: chenshuai_ic@seu.edu.cn
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