Serial Number: 34
Year: 2015
Kind of Traffic: Simulated
Publicly Available: Yes
Count of Records: 100GB / 2M points
Features Count: 49
No. of citations: 3732
Attack Type: Fuzzers, Analysis, Backdoors, DoS, etc
Download Links: https://research.unsw.edu.au/projects/unsw-nb15-dataset
Abstract: The UNSW-NB15 dataset was generated in 2015 with the help of tool known as IXIA Perfect Storm in a low range virtual environment in Cyber range lab of the ACCS and contains 31 hours of malicious and normal network traffic based on packet format. It includes “9” distinct types of attacks, such as exploits, backdoors, fuzzers, DoS, & worms. There is also a format based on flow with extra attributes available for data set. The UNSW-NB15 is divided into two sections: training & testing splits. There are “45” distinct IP addresses in dataset and is freely accessible to the public.