[HTML][HTML] LITNET-2020: An annotated real-world network flow dataset for network intrusion detection

R Damasevicius, A Venckauskas, S Grigaliunas… - Electronics, 2020 - mdpi.com
… different types of network attacks and intrusions. To alleviate this need, we … LITNET-2020,
a new annotated network benchmark dataset obtained from the real-world academic network. …

Data-driven network intrusion detection: A taxonomy of challenges and methods

D Chou, M Jiang - arXiv preprint arXiv:2009.07352, 2020 - arxiv.org
traffic and many datasets are collected through virtual machines or other simulated environments
rather than real-world networks. … from DARPA 1998 [88] to as recent as LITNET 2020 […

[HTML][HTML] A deep learning ensemble for network anomaly and cyber-attack detection

V Dutta, M Choraś, M Pawlicki, R Kozik - Sensors, 2020 - mdpi.com
… of recent benchmark datasets, IoT-23, LITNET-2020, and … a real-world dataset collected
from 24 h of workstation traffic [… for network data obtained via analysis of network traffic [20]. …

[HTML][HTML] The proposition and evaluation of the roedunet-simargl2021 network intrusion detection dataset

ME Mihailescu, D Mihai, M Carabas, M Komisarek… - Sensors, 2021 - mdpi.com
dataset coming from a real-world, academic network. Real-life … The development in the
domain of network traffic analysis and … LITNET-2020, which leveraged an academic network, was …

A survey on data-driven network intrusion detection

D Chou, M Jiang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
… environments rather than real-world networks. These … or extracting subsets during traffic
payload analysis, tracing TCP … datasets from DARPA 1998 [94] to as recent as LITNET 2020 […

[HTML][HTML] Study of multi-class classification algorithms' performance on highly imbalanced network intrusion datasets

V Bulavas, V Marcinkevičius, J Rumiński - Informatica, 2021 - content.iospress.com
LITNET-2020 is a new dataset that is given particular attention in this research, with …
LITNET-2020 is a new annotated network dataset for network intrusion detection, obtained from the …

A novel, refined dataset for real-time Network Intrusion Detection

M Komisarek, M Pawlicki, ME Mihailescu… - … Reliability and Security, 2022 - dl.acm.org
… NSL-KDD datasets. The conducted research shows that the multi-classification network
intrusion detection model proposed in … LITNET-2020: An Annotated Real-World Network Flow

Modern NetFlow network dataset with labeled attacks and detection methods

M Komisarek, M Pawlicki, T Simic, D Kavcnik… - … Reliability and Security, 2023 - dl.acm.org
… , real-world, network intrusion detection dataset leveraging … -learning-based network intrusion
detection. The first chapter … LITNET-2020: An annotated real-world network flow dataset

[PDF][PDF] T, Ms. Chaithra Varshini V, DCRNN: Deep Convolution Reinforcement Neural Network-Based Cyber-Attacks Detection In Iot Data

D Sivakumar - Educational Administration: Theory And Practice, 30 (4) … - kuey.net
… face of network attacks are NIDS (Network Intrusion Detection … using LITNET-2020, the latest
publicly available dataset published … LITNET-2020: An Annotated Real-World Network Flow

[HTML][HTML] An improved long short term memory network for intrusion detection

AA Awad, AF Ali, T Gaber - Plos one, 2023 - journals.plos.org
… From the above literature analysis and summarized in in … algorithm on a modern dataset,
LITNET-2020, to ensure its … It is a real-world and up-to-date flow-based network dataset […