Abstract
The physical randomness of the flying capacitors in the multi-phase on-chip switched-capacitor (SC) voltage converter is exploited as a novel strong physical unclonable function (PUF) primitive for IoT authentication. Moreover, for the strong PUF we devised, an approximated constant input power is achieved against side-channel attacks and a non-linear transformation block is utilized to scramble the high linear relationship between the input challenges and output responses against machine-learning attacks. The results show that the novel strong PUF primitive we designed achieves a nearly 51.3% inter-Hamming distance (HD) and 98.5% reliability while maintaining a high security level against both side-channel and machine-learning attacks.
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Notes
As demonstrated in Fig. 3, the output voltage of an SC converter is a periodical signal. Therefore, the voltage component of \(V_{out,i,j}\) related with the timing t can be unfolded with Fourier series.
w1, \(w_{2}\), ..., \(w_{32}\) control the activation behaviors of the switches \(W_{i,1}\), Wi,2, ... \(W_{i,32}\), respectively. If \(w_{j}= 1\), the switches \(W_{1,j}\) and \(W_{2,j}\) are turned on, and vice versa.
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Yu, W., Wen, Y., Köse, S. et al. Exploiting Multi-Phase On-Chip Voltage Regulators as Strong PUF Primitives for Securing IoT. J Electron Test 34, 587–598 (2018). https://doi.org/10.1007/s10836-018-5746-5
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DOI: https://doi.org/10.1007/s10836-018-5746-5