Literature Database Entry


Felix Erlacher, "Monitoring Support for Efficient Web 2.0 and overlay Network Detection," Master's Thesis, Institute of Computer Science, University of Innsbruck, October 2012. (Advisors: Falko Dressler and Christoph Sommer)


One important goal when dealing with network traffic is its categorization. In the field of network security for example firewalls try to block certain categories of traffic for security reasons or network monitoring tools categorize traffic to provide information to intrusion detection systems. Until recently it was sufficient for categorization to associate parts of the traffic to a specific protocol and the protocol to a specific layer. But current trends show that modern web applications tend to make use of so called overlay structures. Protocols like HTTP, which originally belong to the application layer, are used as transport protocols and thus can not be associated to the application layer anymore. The traditional way of using port numbers to identify a specific protocol and to classify network connections is not effective in the Web 2.0. Thus, the need for new techniques for categorizing traffic can be identified. Given the definition of a specific Web 2.0 protocol, monitoring tools like Vermont can be extended to search for these characteristics in the payload of flows. When identified, the flows are marked correspondingly and can further be processed. In the tests, Google Maps was used as a sample Web 2.0 application. The performed tests show that all of the overlay portion of the Google Maps traffic can be detected – with no false positives or false negatives. The impact on the performance of Vermont is minimal.

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Felix Erlacher

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    author = {Erlacher, Felix},
    title = {{Monitoring Support for Efficient Web 2.0 and overlay Network Detection}},
    advisor = {Dressler, Falko and Sommer, Christoph},
    institution = {Institute of Computer Science},
    location = {Innsbruck, Austria},
    month = {10},
    school = {University of Innsbruck},
    type = {Master's Thesis},
    year = {2012},

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