A Hybrid Asymmetric Traffic Classifier for Deep Packet Inspection Systems with Route Asymmetry
Oztoprak, Kasim and Yazici, Mehmet Akif
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Abstract
A flow is said to be asymmetrically routed if its packets follow
separate paths for forward and reverse directions. Routing asymmetry
leads to problems in flow identification, policy enforcement, quota
management, traffic shaping etc. in DPI systems. There are two existing
approaches to battle routing asymmetry: clustering and state sharing.
The latter fails with stateless traffic, while clustering leads to large
traffic overhead. We propose the Hybrid Asymmetric Traffic Classifier
(HATC) methodd that merges the best aspects of the two existing methods.
HATC is able to handle all types of asymmetric traffic with reduced
overhead compared to clustering. Numerical evaluation of HATC using two
real traffic traces is also presented.... Show more Show less