Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities

Jay Koven, Cristian Felix, Hossein Siadati, Markus Jakobsson, Enrico Bertini

    Research output: Contribution to journalArticle

    Abstract

    The forensic investigation of communication datasets which contain unstructured text, social network information, and metadata is a complex task that is becoming more important due to the immense amount of data being collected. Currently there are limited approaches that allow an investigator to explore the network, text and metadata in a unified manner. We developed Beagle as a forensic tool for email datasets that allows investigators to flexibly form complex queries in order to discover important information in email data. Beagle was successfully deployed at a security firm which had a large email dataset that was difficult to properly investigate. We discuss our experience developing Beagle as well as the lessons we learned applying visual analytic techniques to a difficult real-world problem.

    Original languageEnglish (US)
    Article number8440841
    Pages (from-to)225-234
    Number of pages10
    JournalIEEE Transactions on Visualization and Computer Graphics
    Volume25
    Issue number1
    DOIs
    StatePublished - Jan 2019

    Keywords

    • Email Forensics
    • Email Investigation
    • Visual Analytics

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Computer Vision and Pattern Recognition
    • Computer Graphics and Computer-Aided Design

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