UNSW-NB15 (UNSQ-NB15)
Introduced by Nour Moustafa et al. in UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
UNSW-NB15 is a network intrusion dataset. It contains nine different attacks, includes DoS, worms, Backdoors, and Fuzzers. The dataset contains raw network packets. The number of records in the training set is 175,341 records and the testing set is 82,332 records from the different types, attack and normal.
Paper: UNSW-NB15: a comprehensive data set for network intrusion detection systems
Source: Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSsBenchmarks
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UNSW-NB15
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Edge-Detect-FRNN
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UNSW-NB15
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FastRNN
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Papers
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