On signatures for communication graphs

Graham Cormode, Flip Korn, S. Muthukrishnan, Yihua Wu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Communications between individuals can be represented by (weighted, multi-) graphs. Many applications operate on communication graphs associated with telephone calls, emails, Instant Messages (IM), blogs, web forums, e-business relationships and so on. These applications include identifying repetitive fraudsters, message board aliases, multiusage of IP addresses, etc. Tracking electronic identities in communication networks can be achieved if we have a reliable "signature" for nodes and activities. While many examples of ad hoc signatures can be proposed for particular tasks, what is needed is a systematic study of the principles behind the usage of signatures for any task. We develop a formal framework for the use of signatures in communication graphs and identify three fundamental properties that are natural to signature schemes: persistence, uniqueness and robustness. We argue for the importance of these properties by showing how they impact a set of applications. We then explore several signature schemes -previously defined and new - in our framework and evaluate them on real data in terms of these properties. This provides insights into suitable signature schemes for desired applications. Finally, as case studies, we focus on two concrete applications in enterprise network traffic. We apply signature schemes to these problems and demonstrate their effectiveness.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
    Number of pages10
    StatePublished - 2008
    Event2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico
    Duration: Apr 7 2008Apr 12 2008

    Publication series

    NameProceedings - International Conference on Data Engineering
    ISSN (Print)1084-4627


    Other2008 IEEE 24th International Conference on Data Engineering, ICDE'08

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Information Systems


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