Dataset: UNSW-NB15 And CIC-IDS2017 Labelled PCAP Data

About this Dataset

UNSW-NB15 And CIC-IDS2017 Labelled PCAP Data

Packet Capture (PCAP) files of UNSW-NB15 and CIC-IDS2017 dataset are processed and labelled utilizing the CSV files. Each packet is labelled by comparing the eight distinct features: Source IP, Destination IP, Source Port, Destination Port, Starting time, Ending time, Protocol and Time to live. The dimensions for the dataset is Nx1504. All column of the dataset are integers, therefore you can directly utilize this dataset in you machine learning models. Moreover, details of the whole processing and transformation is provided in the following GitHub Repo:

https://github.com/Yasir-ali-farrukh/Payload-Byte

You can utilize the tool available at the above mentioned GitHub repo to generate labelled dataset from scratch. All of the detail of processing and transformation is provided in the following paper:

@article{Payload,  
author = "Yasir Ali Farrukh and Irfan Khan and Syed Wali and David Bierbrauer and Nathaniel Bastian",  
title = "{Payload-Byte: A Tool for Extracting and Labeling Packet Capture Files of Modern Network Intrusion Detection Datasets}",  
year = "2022",  
month = "9",  
url = "https://www.techrxiv.org/articles/preprint/Payload-Byte_A_Tool_for_Extracting_and_Labeling_Packet_Capture_Files_of_Modern_Network_Intrusion_Detection_Datasets/20714221",  
doi = "10.36227/techrxiv.20714221.v1"  
}

If you are using our tool or dataset, kindly cite our related paper which outlines the details of the tools and its processing.

Tables

Payload Data Cicids2017

@kaggle.yasiralifarrukh_unsw_and_cicids2017_labelled_pcap_data.payload_data_cicids2017

768.1 MB
1410255 rows
1505 columns


CREATE TABLE payload_data_cicids2017 (
  "payload_byte_1" BIGINT,
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  "payload_byte_100" BIGINT
);

Payload Data Unsw

@kaggle.yasiralifarrukh_unsw_and_cicids2017_labelled_pcap_data.payload_data_unsw

56.78 MB
79881 rows
1505 columns


CREATE TABLE payload_data_unsw (
  "payload_byte_1" BIGINT,
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);