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A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT
Open AccessArticle

LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection

Faculty of Informatics, Kaunas University of Technology, 51386 Kaunas, Lithuania
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Electronics 2020, 9(5), 800; https://doi.org/10.3390/electronics9050800
Received: 14 April 2020 / Revised: 9 May 2020 / Accepted: 11 May 2020 / Published: 13 May 2020
Network intrusion detection is one of the main problems in ensuring the security of modern computer networks, Wireless Sensor Networks (WSN), and the Internet-of-Things (IoT). In order to develop efficient network-intrusion-detection methods, realistic and up-to-date network flow datasets are required. Despite several recent efforts, there is still a lack of real-world network-based datasets which can capture modern network traffic cases and provide examples of many different types of network attacks and intrusions. To alleviate this need, we present LITNET-2020, a new annotated network benchmark dataset obtained from the real-world academic network. The dataset presents real-world examples of normal and under-attack network traffic. We describe and analyze 85 network flow features of the dataset and 12 attack types. We present the analysis of the dataset features by using statistical analysis and clustering methods. Our results show that the proposed feature set can be effectively used to identify different attack classes in the dataset. The presented network dataset is made freely available for research purposes. View Full-Text
Keywords: benchmark dataset; network intrusion detection; network attack; cyber security benchmark dataset; network intrusion detection; network attack; cyber security
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MDPI and ACS Style

Damasevicius, R.; Venckauskas, A.; Grigaliunas, S.; Toldinas, J.; Morkevicius, N.; Aleliunas, T.; Smuikys, P. LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection. Electronics 2020, 9, 800.

AMA Style

Damasevicius R, Venckauskas A, Grigaliunas S, Toldinas J, Morkevicius N, Aleliunas T, Smuikys P. LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection. Electronics. 2020; 9(5):800.

Chicago/Turabian Style

Damasevicius, Robertas; Venckauskas, Algimantas; Grigaliunas, Sarunas; Toldinas, Jevgenijus; Morkevicius, Nerijus; Aleliunas, Tautvydas; Smuikys, Paulius. 2020. "LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection" Electronics 9, no. 5: 800.

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