A bot traffic detection system detects scripted network traffic. The bot traffic detection system may use a one-sided unsupervised machine learning technique to estimate distributions for human, non-scripted traffic (clean distributions). The clean distributions may be dynamically updated based on the latest traffic patterns. To estimate the clean distributions the bot traffic detection system may identify, for a certain subset of network traffic, feature values of the certain subset of network traffic that do not include bot traffic (clean buckets). Using clean traffic may provide more robust and stable behavior that can be tracked over time. Using the clean distributions, the bot traffic detection system may generate a rules table that indicates a likelihood that network traffic with a given combination of feature values is scripted network traffic. The bot traffic detection system may apply the rules table in real time to identify scripted network traffic.
METHOD AND APPARATUS TO DETECT SCRIPTED NETWORK TRAFFIC
2021-12-23
Patent
Electronic Resource
English
Gesture recognition corpora and tools: A scripted ground truthing method
British Library Online Contents | 2015
|AIAA 2006-0886 Scripted Hybrid Mesh Adaption for High Incidence RANS Flows About Axisymmetric Shapes
British Library Conference Proceedings | 2006
|Method and system for policy-based traffic encounter assessment to detect and avoid traffic
European Patent Office | 2022
|