Add answers for ex3 part 2
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# Exercise 3
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## Analyzing Darkspace Evolution
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>>>
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Check results from [rep-14] again. Are they correlated? Think for a second
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about the possible meaning of the analyzed time series being correlated. What
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could be the reason why the drop in the number of unique IP sources after Jan
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16 does not cause a proportional drop in the other signals?
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>>>
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The results are mostly either strongly or somewhat correlated. Looking at the
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different correlations, it could be that the drop happened because someone was
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scanning the network or performing some kind of attack on a lot of different
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hosts. This hypothesis is supported by the high correlation of unique
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destination IPs with the amount of packets and the amount of bytes sent. It
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follows that, since the unique source IPs dropped, one IP address had a lot of
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outflow of traffic to a lot of unique destination IPs.
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>>>
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Check results from [rep-15] again. Do the results make sense for you? Would you
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expect a different ratio in a normal network (no darkspace)?
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>>>
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In a normal network I would expect the ratio to be much closer to one, albeit
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still higher than one. Thinking about my traffic at home, most requests have a
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response associated with them and thus the ratio should be much closer to one.
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This ratio is easily offset by doing a horizontal scan on the network for
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example.
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>>>
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You used the median in [rep-15], but you could have used the mean. Does it make
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any difference? What's better in your opinion? When to use mean and when
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median? Can you figure out pros and cons for both measures of central tendency?
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>>>
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The median definitely makes more sense in this case since it has a strong
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rejection of outliers. The traffic data is very diverse and spread out, meaning
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that the mean would look very different from the median.
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