Flow-Based Compromise Detection: Lessons Learned

Rick Hofstede (Corresponding Author), Aiko Pras (Corresponding Author), Anna Sperotto, Gabi Dreo Rodosek

    Research output: Contribution to journalArticleAcademicpeer-review

    7 Citations (Scopus)
    42 Downloads (Pure)

    Abstract

    Although the aggregated nature of exported flow data provides many advantages in terms of privacy and scalability, flow data may contain artifacts that impair data analysis. In this article, we investigate the differences between flow data analysis in theory and practice — that is, in lab environments and production networks.
    Original languageEnglish
    Article number8283485
    Pages (from-to)82-89
    Number of pages8
    JournalIEEE security & privacy
    Volume16
    Issue number1
    Early online date6 Feb 2018
    DOIs
    Publication statusPublished - 16 Dec 2018

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