Data for: Grouping Detection and Forecasting Security Controls Using Unrestricted Cooperative Bargains

Published: 13-08-2019| Version 1 | DOI: 10.17632/5c7d3ktnm4.1
Contributors:
Anderson Aparecido Alves da Silva,
Norisvaldo Ferraz Junior,
Leonardo Santos

Description

data from three entire days: (1) before Black Friday (Nov/21/2014); during Black Friday (Nov/28/2014); and (3) after Black Friday (Dec/05/2014). There are different sections of network traffic: (1) normal; (2) DDoS; (3) Flash Crowd; and (4) Flash Crowd + DDoS which is a very rare scenario. Since the IP of hosts are confidential, they are masked by letters (one letter represents just one number). The data in this repository is related to site P (78 samples with around 500,00 records each). The dataset is available in the CSV format (text). The fields are limited by apostrophe, separated by semicolon and compressed with 7z. Mirror at: https://uspbr-my.sharepoint.com/:f:/g/personal/and1970_usp_br/EvRKMh0d3slPpDkdZgBuR-oBULsPbgnHvnsqC9P5UzBFOQ?e=TAgPyc . A complete version of this dataset with all the e-commerce sites can be found at: https://uspbr-my.sharepoint.com/:f:/g/personal/and1970_usp_br/EvYstyiZiWdEhOfiI21IOWwB1lCHXsrNUKPpBx7-z1rnWQ?e=efkCVa Please in case of use, cite our original researches: 1) Grouping Detection and Forecasting Security Controls Using Unrestricted Cooperative Bargains; 2) A Proposal to Distinguish DDoS Traffic in Flash Crowd Environments.

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