Inferring Packet Processing Behavior Using Input/Output Monitors

Abstract

Programmable packet processors have replaced traditional fixed-function custom logic in the data path of routers. This programmability introduces new vulnerabilities in these systems that can lead to new types of network attacks. We propose a modular packet processor monitoring technique that can help in detecting and avoiding such attacks. Using information about the processing time distribution of individual modules, input/output traffic characteristics can be inferred and abnormal behavior can be detected.