UNSQ-NB15
UNSW-NB15 설명 보기
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. Source: Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs Image Source: https://www.unsw.adfa.edu.au/unsw-canberra-cyber/cybersecurity/ADFA-NB15-Datasets/ Paper: UNSW-NB15: a comprehensive data set for network intrusion detection systems