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Creation of Flow-Based Data Sets for Intrusion Detection

Abstract:

Publicly available labelled data sets are necessary for evaluating anomaly-based Intrusion Detection Systems (IDSs). However, existing data sets are often not up-to-date or not yet published because of privacy concerns. This paper identifies requirements for good data sets and proposes an approach for their generation.

Published In

Volume 16, Issue 4

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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AI
APT

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C2
C2S
CDX
CIA
CIP
CPS

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DNS
DoD
DoS

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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