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Analysis of android random number generator

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Figure

Figure 1.1: Kerberos random number generator seed (reprinted from [1]). Only lower 20 bits are unpredictable which reduces attack complexity to 2 20
Figure 2.1: Linux RNG full scheme. Entropy is collected from the entropy sources.
Table 2.1: The number of unknown bits in operating system events (taken from [4]). Actual entropy from these events is much lower, hence LRNG uses timing information to increase uncertainity.
Figure 2.2: Linux RNG mixing function. Mixing function is similar to general TGFSR structure
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