I have total counts of unique IP hits. how can I create dynamic baseline for the hit counts with respect to IP addresses. Tried some average and standard deviation formulas but not getting expected output with search processing power optimization
Sorry for incomplete information. I am looking for trend kind of statistics. if last day I have this much of hits from single IP and today if suddenly it's increased than rule should trigger.
Sample: Alert if 50% different from 1 hour ago.
| makeresults count=2 | streamstats count | eval _time=if(count=1,relative_time(_time,"-20h@h"),relative_time(_time,"@h")) | makecontinuous span=5m _time | eval ip_count=random() % 2 | timechart span=1h sum(ip_count) as ip_count | autoregress ip_count as prev_ip_count | eval diff=max(ip_count,prev_ip_count) / min(ip_count,prev_ip_count) | eval alert=nullif( diff > 2 ,NULL)