TY - JOUR
T1 - Generating network intrusion detection dataset based on real and encrypted synthetic attack traffic
AU - Ferriyan, Andrey
AU - Thamrin, Achmad Husni
AU - Takeda, Keiji
AU - Murai, Jun
N1 - Funding Information:
Our sincere appreciation for the Indonesia government, particularly LPDP (Lembaga Pengelola Dana Pendidikan Indonesia = Indonesia Endowment Fund for Education) that provides the scholarship to study at Keio University.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - 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.
AB - 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.
KW - Encrypted network traffic
KW - Https
KW - Network intrusion datasets
KW - Network intrusion detection system
KW - Tls
UR - http://www.scopus.com/inward/record.url?scp=85114098561&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85114098561&partnerID=8YFLogxK
U2 - 10.3390/app11177868
DO - 10.3390/app11177868
M3 - Article
AN - SCOPUS:85114098561
SN - 2076-3417
VL - 11
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 17
M1 - 7868
ER -