Dataset from NSL-KDD for model validation

Citation Author(s):
Wang
Zhen
Submitted by:
wang zhen
Last updated:
Tue, 01/31/2023 - 08:49
DOI:
10.21227/z7k7-0e08
License:
Creative Commons Attribution
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Categories:
Artificial Intelligence
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Abstract 

There are five types of data in the dataset, namely NORMAL, DoS, Probe, R2L and U2R. A total of 20,000 training samples were used during the experiment (5 classifications in total, 4000 samples for each classification). There are 4047 samples in the validation dataset, including 1000 samples each of NORMAL, DoS, and Probe types. 995 samples of R2L and 52 samples of U2R.

Instructions: 

The data in train.txt is used to train the model and the data in test.txt is used to validate the model.

Comments

thank you

Submitted by zakaria belgoum on Fri, 01/12/2024 - 11:02

wkw

Submitted by Malika mn on Thu, 04/18/2024 - 03:51

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