CICDDoS2019_subset

Analysis and create subset dataset on CICDDoS2019 csv dataset.

Requirement

• Python3
• Pandas
• Matplotlib

Introduction of the repo(Usage)

CSV-01-12 and CSV-03-11 is the folder that put the data. It is empty because I don't put the dataset. It is too big.

The dataset has two csv files on different dates. I use the code on the "count_num" folder to count all the types of packets. The result is in "Introduction of the dataset" chapter.

• count_num folder put the code to count packet numbers.
• create_subset folder put the code to generate subset csv files.

The output of the subset

1. CSV-01-12 folder: ...
2. CSV-03-11 folder: ...

Introduction of the dataset

Source: https://www.unb.ca/cic/datasets/ddos-2019.html

In csv folder, there are two dates in tow folders.

• CSV-01-12: 11 items, totaling 22.3 GB.
• CSV-03-11: 7 items, totaling 8.7 GB.

CSV-01-12:

As the image shows each file includes only benign and DDoS (the type is what the file name show). The only special is the "DrDoS_UDP" file not only contains UDP-lag DDoS and benign packets, it has WebDDoS packets (few, only 439 packets).

CSV-03-11:

...

Contribution

If there is any code that can be accelerated, it is glad to get a PR about that.

Todo

1. 03-11 data complete
2. README.md