Generating network intrusion detection dataset based on real and encrypted synthetic attack traffic

Andrey Ferriyan, Achmad Husni Thamrin, Keiji Takeda, Jun Murai

研究成果: Article査読

抄録

The lack of publicly available up-to-date datasets contributes to the difficulty in evaluating intrusion detection systems. This paper introduces HIKARI-2021, a dataset that contains encrypted synthetic attacks and benign traffic. This dataset conforms to two requirements: the content require-ments, which focus on the produced dataset, and the process requirements, which focus on how the dataset is built. We compile these requirements to enable future dataset developments and we make the HIKARI-2021 dataset, along with the procedures to build it, available for the public.

本文言語English
論文番号7868
ジャーナルApplied Sciences (Switzerland)
11
17
DOI
出版ステータスPublished - 2021 9月 1

ASJC Scopus subject areas

  • 材料科学(全般)
  • 器械工学
  • 工学(全般)
  • プロセス化学およびプロセス工学
  • コンピュータ サイエンスの応用
  • 流体および伝熱

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