Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic

Andrey Ferriyan, Achmad Husni Thamrin, Keiji Takeda, Jun Murai
2021 Applied Sciences  
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
more » ... 021 dataset, along with the procedures to build it, available for the public.
doi:10.3390/app11177868 fatcat:qxqq3d35wbc6tm4yykcwug7beq