Anomaly Detection in Data Plane Systems using Packet Execution Paths
Archit Sanghi, Krishna P. Kadiyala, Praveen Tammana, Saurabh Joshi · 2021
Programmable data planes provide exciting opportunities to realize fast, accurate, and data-driven control-loop decisions. Many data plane systems have been proposed for handling network dynamics (e.g., congestion, failures) in near real-time. The core of these systems has packet-processing data-plane algorithms that continuously monitor traffic and respond automatically. Despite their benefits, automatic response to network events lead to increase in potential sources of inputs, and hence, increase in attack surface.