dataset_info:
features:
- name: srcip
dtype: string
- name: sport
dtype: string
- name: dstip
dtype: string
- name: dsport
dtype: string
- name: proto
dtype: string
- name: state
dtype: string
- name: dur
dtype: float64
- name: sbytes
dtype: int64
- name: dbytes
dtype: int64
- name: sttl
dtype: int64
- name: dttl
dtype: int64
- name: sloss
dtype: int64
- name: dloss
dtype: int64
- name: service
dtype: string
- name: Sload
dtype: float64
- name: Dload
dtype: float64
- name: Spkts
dtype: int64
- name: Dpkts
dtype: int64
- name: swin
dtype: int64
- name: dwin
dtype: int64
- name: stcpb
dtype: int64
- name: dtcpb
dtype: int64
- name: smeansz
dtype: int64
- name: dmeansz
dtype: int64
- name: trans_depth
dtype: int64
- name: res_bdy_len
dtype: int64
- name: Sjit
dtype: float64
- name: Djit
dtype: float64
- name: Stime
dtype: int64
- name: Ltime
dtype: int64
- name: Sintpkt
dtype: float64
- name: Dintpkt
dtype: float64
- name: tcprtt
dtype: float64
- name: synack
dtype: float64
- name: ackdat
dtype: float64
- name: is_sm_ips_ports
dtype: int64
- name: ct_state_ttl
dtype: int64
- name: ct_flw_http_mthd
dtype: float64
- name: is_ftp_login
dtype: float64
- name: ct_ftp_cmd
dtype: string
- name: ct_srv_src
dtype: int64
- name: ct_srv_dst
dtype: int64
- name: ct_dst_ltm
dtype: int64
- name: ct_src_ltm
dtype: int64
- name: ct_src_dport_ltm
dtype: int64
- name: ct_dst_sport_ltm
dtype: int64
- name: ct_dst_src_ltm
dtype: int64
- name: attack_cat
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 907689217
num_examples: 2280090
download_size: 230016344
dataset_size: 907689217
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-classification
- zero-shot-classification
language:
- en
size_categories:
- 1M<n<10M
The UNSW-NB15
The raw network packets (Pcap files) of the UNSW-NB 15 data set is created by the IXIA PerfectStorm tool in the Cyber Range Lab of the Australian Centre for Cyber Security (ACCS) for generating a hybrid of real modern normal activities and synthetic contemporary attack activities. The UNSW-NB15 source files are provided in different formats, Pcap files, BRO files, Argus Files and CSV files. The source files of the data set were divided based in the date of the simulation 22-1-2015 and 17-2-2015, respectively. The descriptions of these simulations are provided in the report files to show the network configurations and the actions of the attack types during the simulation
How to Use it
pip install datasets
from datasets import load_dataset
dataset = load_dataset("Mouwiya/UNSW-NB15")
Dataset Description
The details of the UNSW-NB15 dataset were published in following the papers. For the academic/public use of this dataset, the authors have to cities the following papers:
Moustafa, Nour, and Jill Slay. "UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)." Military Communications and Information Systems Conference (MilCIS), 2015. IEEE, 2015. Moustafa, Nour, and Jill Slay. "The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 dataset and the comparison with the KDD99 dataset." Information Security Journal: A Global Perspective (2016): 1-14. Moustafa, Nour, et al. "Novel geometric area analysis technique for anomaly detection using trapezoidal area estimation on large-scale networks." IEEE Transactions on Big Data (2017). Moustafa, Nour, et al. "Big data analytics for intrusion detection system: statistical decision-making using finite dirichlet mixture models." Data Analytics and Decision Support for Cybersecurity. Springer, Cham, 2017. 127-156. Sarhan, Mohanad, Siamak Layeghy, Nour Moustafa, and Marius Portmann. NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. In Big Data Technologies and Applications: 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020, Proceedings (p. 117). Springer Nature.
Uses
Free use of the UNSW-NB15 dataset for academic research purposes is hereby granted in perpetuity. Use for commercial purposes is strictly prohibited. Nour Moustafa has asserted his rights under the Copyright.
Citation
N. Moustafa and J. Slay, "UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)," 2015 Military Communications and Information Systems Conference (MilCIS), Canberra, ACT, Australia, 2015, pp. 1-6, doi: 10.1109/MilCIS.2015.7348942. keywords: {Telecommunication traffic;Feature extraction;Servers;Training;Data models;IP networks;Benchmark testing;UNSW-NB15 data set;NIDS;low footprint attacks;pcap files;testbed},