Description: As previously mentioned, the keyspace population follows a Poisson distribution, which can make identifying outliers challenging. The plot below counts the number of regions for each population size and facilitates the identification and analysis of outliers. While it is normal for some regions to have populations above the average, the plot enables us to quantify these deviations.
How to read the plot: The green line represents the expected number of regions for each population size. Note that the Poisson distribution is more evident at greater depths (longer prefix size), while analyzing data at lower depths provides limited insights. It is recommended to read the plot for depths between 9 and 13. The date dropdown menu allows to navigate to previous versions of this plot.
What to look out for: If an isolated bar appears on the far right beyond the risk threshold (red dashed) line, it may indicate a potential eclipse attack, warranting further investigation.
The plot shows the distribution of the PeerIDs across the Poisson curve. Too many PeerIDs outside the curve indicate a potential issue.