Intrusion Detection Systems (IDSs)

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.

Keywords

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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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