Network firewall for mitigating against persistent low volume attacks

Abstract

A network firewall detects and protects against persistent low volume attacks based on a sequence of network data having a pattern that matches by some threshold or percentage a sequence of network data from an earlier iteration of the same persistent low volume attack. The attack patterns are derived from tokenizing one or more elements from a captured sequence of network data that is representative of an attack iteration. Counts for different resulting tokens may be stored in a feature vector that represents the attack pattern. If subsequent sequences of network data have a sufficient number of similar token, a pattern match can be identified and the firewall can take protective action including blacklisting the sending clients, blocking the traffic, redirecting the traffic, sending a problem to verify the sender is an actual user, or other actions.