DOI: 10.57760/sciencedb.15413
title: Three typical internet workload traffic
title: Three typical internet workload traffic

description: # P3 workloads## Workload description### 1. bsy_processedThis file is generated by `analyze_bsy.py`.This dataset is the log data from the nginxlog of Baishan Cloud on June 12, 2023. After log cleaning, the dataset can truly reflect the distribution of requests on the CDN server on that day.### 2. darknet_processedThis is a dataset gathered to test novel methods for classifying darknet traffic.Dataset gathered by the Canadian Institute for Cybersecurity at the University of New Brunswick.This file is processed by `analyze_darknet.py`. We extract four columns of data: "Timestamp", "Flow ID", "Flow Bytes/s", and "Flow Duration". We discard data with flowBytes/s of 0 and inf, sort them by timestamp, and finally convert the timestamp to a relative timestamp. In addition, we discarded traffic with a duration of less than 1 seconds to ensure the accuracy of the simulation.- **LINK:**&gt; https://www.kaggle.com/datasets/peterfriedrich1/cicdarknet2020-internet-traffic- **Cite:**``` @misc{DIDarknet2020,    title={DIDarknet: A Contemporary Approach to Detect and Characterize the Darknet Traffic using Deep Image Learning},    url={https://www.unb.ca/cic/datasets/darknet2020.html},    publisher={10th International Conference on Communication and Network Security},    author={Arash Habibi Lashkari and Gurdip Kaur and Abir Rahali},    year={2020}}``` ### 3. sdn_processedA Software Defined Network specific dataset was generated by using Mininet Emulator and RYU simulator. Legitimate traffic flows are generated for the duration of 1 hour and malicious (or) DDoS attack traffic flows are generated for 5 hours from early 8:00 AM to 1:00 PM. - **LINK:**&gt; https://www.kaggle.com/datasets/pmpcse/software-defined-network-specific-dataset- **Cite:**```text @misc{ujjwala_nithishha_mohana priya_2023,    title={Software Defined Network Specific Dataset},    url={https://www.kaggle.com/dsv/5245816},    DOI={10.34740/KAGGLE/DSV/5245816},    publisher={Kaggle},    author={Ujjwala and Nithishha and Mohana Priya},    year={2023}}```## Format description### req_file```text# format"Timestamp", "Flow ID", "Flow Bytes/s", "Flow Duration"(Integer, Integer, Integer, float)```### content_file```text# format"content", "popularity", "size", "app_type"(Integer, float, Integer, Integer)```
description: # P3 workloads## Workload description### 1. bsy_processedThis file is generated by `analyze_bsy.py`.This dataset is the log data from the nginxlog of Baishan Cloud on June 12, 2023. After log cleaning, the dataset can truly reflect the distribution of requests on the CDN server on that day.### 2. darknet_processedThis is a dataset gathered to test novel methods for classifying darknet traffic.Dataset gathered by the Canadian Institute for Cybersecurity at the University of New Brunswick.This file is processed by `analyze_darknet.py`. We extract four columns of data: "Timestamp", "Flow ID", "Flow Bytes/s", and "Flow Duration". We discard data with flowBytes/s of 0 and inf, sort them by timestamp, and finally convert the timestamp to a relative timestamp. In addition, we discarded traffic with a duration of less than 1 seconds to ensure the accuracy of the simulation.- **LINK:**&gt; https://www.kaggle.com/datasets/peterfriedrich1/cicdarknet2020-internet-traffic- **Cite:**``` @misc{DIDarknet2020,    title={DIDarknet: A Contemporary Approach to Detect and Characterize the Darknet Traffic using Deep Image Learning},    url={https://www.unb.ca/cic/datasets/darknet2020.html},    publisher={10th International Conference on Communication and Network Security},    author={Arash Habibi Lashkari and Gurdip Kaur and Abir Rahali},    year={2020}}``` ### 3. sdn_processedA Software Defined Network specific dataset was generated by using Mininet Emulator and RYU simulator. Legitimate traffic flows are generated for the duration of 1 hour and malicious (or) DDoS attack traffic flows are generated for 5 hours from early 8:00 AM to 1:00 PM. - **LINK:**&gt; https://www.kaggle.com/datasets/pmpcse/software-defined-network-specific-dataset- **Cite:**```text @misc{ujjwala_nithishha_mohana priya_2023,    title={Software Defined Network Specific Dataset},    url={https://www.kaggle.com/dsv/5245816},    DOI={10.34740/KAGGLE/DSV/5245816},    publisher={Kaggle},    author={Ujjwala and Nithishha and Mohana Priya},    year={2023}}```## Format description### req_file```text# format"Timestamp", "Flow ID", "Flow Bytes/s", "Flow Duration"(Integer, Integer, Integer, float)```### content_file```text# format"content", "popularity", "size", "app_type"(Integer, float, Integer, Integer)```