Journal
APPLIED SCIENCES-BASEL
Volume 11, Issue 17, Pages -Publisher
MDPI
DOI: 10.3390/app11177868
Keywords
network intrusion detection system; network intrusion datasets; encrypted network traffic; https; tls
Categories
Funding
- Indonesia government, particularly LPDP (Lembaga Pengelola Dana Pendidikan Indonesia = Indonesia Endowment Fund for Education)
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This paper presents the HIKARI-2021 dataset, which contains encrypted synthetic attacks and benign traffic to address the lack of up-to-date datasets for evaluating intrusion detection systems. The dataset meets content and process requirements, and is made available to enable future dataset developments.
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 requirements, 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.
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