Web traffic at different geographic traffic distribution buckets are compared against each other to try and machine-learn the underlying traffic parameters of legitimate (human-initiated) traffic. Distributions of the traffic parameters for the web traffic at multiple servers are compared to see whether they match. If so, matching or substantially matching traffic parameters signal that such web traffic is, in fact, legitimate. A clean profile is built with the matching traffic parameters and used to determine how much bot traffic is resident in web traffic at different servers.
DISTINGUISHING BOT TRAFFIC FROM HUMAN TRAFFIC
UNTERSCHEIDUNG VON BOT-VERKEHR UND MENSCHLICHEM VERKEHR
DISTINCTION ENTRE LE TRAFIC DE ROBOT DE RECHERCHE ET LE TRAFIC HUMAIN
2022-03-09
Patent
Elektronische Ressource
Englisch
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