Exploiting intra-packet dependency for fine-grained protocol format inference
Refereed conference paper presented and published in conference proceedings


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AbstractGiven the increasing volume and complexity of network traffic nowadays, network operators often leverage application-layer protocols to differentiate network traffic, so as to improve quality-of-service control, security protection, and resource profiling. We present ProGraph, a tool that accurately infers protocol message formats at both byte-level and bit-level granularities. Unlike existing approaches that mainly exploit statistical features across packets, ProGraph exploits intra-packet dependency among the values of different portions of a packet payload. It systematically constructs a graphical model that captures intra-packet dependency, using various techniques in graph theory and information theory. It also achieves several important design properties for real deployment, including fine-grained inference, protocol independence, simple parameterization, robustness to noisy training sets, and fast execution. We show via trace-driven evaluations that ProGraph achieves more accurate inference than existing approaches. We further show how ProGraph can be used for classifying traffic.
All Author(s) ListHuang Q., Lee P.P.C., Zhang Z.
Name of Conference2015 14th IFIP Networking Conference, IFIP Networking 2015
Start Date of Conference20/05/2015
End Date of Conference22/05/2015
Place of ConferenceToulouse
Country/Region of ConferenceFrance
Detailed descriptionorganized by IFIP Technical Committee on Communication Systems (TC6),
Year2015
Month1
Day1
ISBN9783901882685
LanguagesEnglish-United Kingdom

Last updated on 2020-05-08 at 01:38