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Zipfs Law in Passwords

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Figure

Table III. Length distribution information of each dataset
Fig. 1.Zipf’s law in Tianya (R2 = 0.994)Fig. 2.
Fig. 3.Zipf’s law in real-life passwords plotted on a log-log scale
Table V. Linear regression (LR) results of twelve password datasets (“PWs” stands for passwords)
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