1 Montgomery Modular Multiplication in Hard- ware
1 Montgomery Modular Multiplication in Hard- ware
1 Montgomery Modular Multiplication in Hard- ware
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FEI KEMT<br />
Figure 6 – 13 Amount of sampled ones dur<strong>in</strong>g 1000 sampl<strong>in</strong>g periods accord<strong>in</strong>g to temperature<br />
for chosen sample positions <strong>in</strong> TRNG with configuration B.<br />
tistical <strong>in</strong>dependence between the critical samples. The model was confirmed <strong>in</strong><br />
empirical way and is valid for small number of critical samples, however, <strong>in</strong> case<br />
of higher number the model is less precise. In order to achieve a better adjusted<br />
model we propose for future research to monitor and analyse the bit sequence at<br />
the output of the sampl<strong>in</strong>g gate, before XOR operation. This k<strong>in</strong>d of measurements<br />
may uncover a possible dependency between the samples.<br />
In the last part of the chapter we presented results of experiments with change-<br />
able temperature of chip with the PLL-TRNG. As a result we propose additional<br />
requirements for the generator design that need to be met <strong>in</strong> order to achieve a<br />
robustness of the design. We can conclude that configurations with more than 10<br />
highly critical samples per edge behave reliably even <strong>in</strong> chang<strong>in</strong>g environment. The<br />
bigger are the changes of jitter amplitude the bigger are changes <strong>in</strong> the histogram of<br />
jitter and that has direct negative impact on statistical properties of the generated<br />
sequence.<br />
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