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Protocol Identification of Encrypted Network Traffic

Authors: Matthew Gebski; Alex Penev; Raymond K. Wong 0001;

Protocol Identification of Encrypted Network Traffic

Abstract

New means of communication are constantly emerg- ing, some of which may constitute resource mis- use of an organisation?s network system. Identify- ing the protocols used is straight-forward when in- specting network logs, but we focus on the problem of identifying the underlying protocol present in an unknown TCP connection. Actions are difficult to detect if the underlying protocol is encrypted and tunneled through a proxy server or SSH. We use a graph-comparison approach to build profiles of sev- eral protocols, and attempt to classify an unknown, encrypted protocol against these profiles using only the visible behaviour of the protocol being tunneled-- the size, timing and direction of packets.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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