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

Published: 13 Aug 2019 | Version 1 | DOI: 10.17632/5c7d3ktnm4.1
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Description of this data

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.

Experiment data files

This data is associated with the following publication:

Grouping detection and forecasting security controls using unrestricted cooperative bargains

Published in: Computer Communications

Latest version

  • Version 1

    2019-08-13

    Published: 2019-08-13

    DOI: 10.17632/5c7d3ktnm4.1

    Cite this dataset

    Alves da Silva, Anderson Aparecido; Ferraz Jr., Norisvaldo; Santos, Leonardo (2019), “Data for: Grouping Detection and Forecasting Security Controls Using Unrestricted Cooperative Bargains”, Mendeley Data, v1 http://dx.doi.org/10.17632/5c7d3ktnm4.1

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Categories

Computer Network, Security, Crowd Analysis

Licence

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The files associated with this dataset are licensed under a Public Domain Dedication licence.

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You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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