@article{ring2017creation,
  abstract = {Publicly available labelled data sets are necessary for evaluating anomaly-based Intrusion Detection Systems (IDS). However, existing data sets are often not up-to-date or not yet published because of privacy concerns. This paper identifies requirements for good data sets and proposes an approach for their generation. The key idea is to use a test environment and emulate realistic user behaviour with parameterised scripts on the clients. Comprehensive logging mechanisms provide additional information which may be used for a better understanding of the inner dynamics of an IDS. Finally, the proposed approach is used to generate the flow-based CIDDS-002 data set.},
  added-at = {2018-03-14T12:31:01.000+0100},
  author = {Ring, Markus and Wunderlich, Sarah and Grüdl, Dominik and Landes, Dieter and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2d9d77561c5045bdc3c6d236f88d89a96/baywiss1},
  interhash = {7f7e9343f15548875591aeb845367b8a},
  intrahash = {d9d77561c5045bdc3c6d236f88d89a96},
  issn = {ISSN 1445-3312},
  journal = {Journal of Information Warfare},
  keywords = {mr},
  month = {Dez},
  number = 4,
  pages = {41-54},
  timestamp = {2018-03-14T12:31:01.000+0100},
  title = {Creation of Flow-Based Data Sets for Intrusion Detection},
  url = {https://www.jinfowar.com/journal/volume-16-issue-4/creation-flow-based-data-sets-intrusion-detection},
  volume = 16,
  year = 2017
}

@article{ring2017creation,
  abstract = {Publicly available labelled data sets are necessary for evaluating anomaly-based Intrusion Detection Systems (IDS). However, existing data sets are often not up-to-date or not yet published because of privacy concerns. This paper identifies requirements for good data sets and proposes an approach for their generation. The key idea is to use a test environment and emulate realistic user behaviour with parameterised scripts on the clients. Comprehensive logging mechanisms provide additional information which may be used for a better understanding of the inner dynamics of an IDS. Finally, the proposed approach is used to generate the flow-based CIDDS-002 data set.},
  added-at = {2018-01-31T11:07:05.000+0100},
  author = {Ring, Markus and Wunderlich, Sarah and Grüdl, Dominik and Landes, Dieter and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/24cdd67ec1dee90095658f31654edf3ae/hotho},
  interhash = {7f7e9343f15548875591aeb845367b8a},
  intrahash = {4cdd67ec1dee90095658f31654edf3ae},
  issn = {1445-3312},
  journal = {Journal of Information Warfare},
  keywords = {2017 dataset detection intrusion myown},
  number = 4,
  pages = {41-54},
  timestamp = {2018-01-31T11:14:31.000+0100},
  title = { Creation of Flow-Based Data Sets for Intrusion Detection},
  url = {https://www.jinfowar.com/journal/volume-16-issue-4/creation-flow-based-data-sets-intrusion-detection},
  volume = 16,
  year = 2017
}

@article{ring2017creation,
  abstract = {Publicly available labelled data sets are necessary for evaluating anomaly-based Intrusion Detection Systems (IDS). However, existing data sets are often not up-to-date or not yet published because of privacy concerns. This paper identifies requirements for good data sets and proposes an approach for their generation. The key idea is to use a test environment and emulate realistic user behaviour with parameterised scripts on the clients. Comprehensive logging mechanisms provide additional information which may be used for a better understanding of the inner dynamics of an IDS. Finally, the proposed approach is used to generate the flow-based CIDDS-002 data set.},
  added-at = {2018-01-10T03:10:06.000+0100},
  author = {Ring, Markus and Wunderlich, Sarah and Grüdl, Dominik and Landes, Dieter and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2d9d77561c5045bdc3c6d236f88d89a96/dmir},
  interhash = {7f7e9343f15548875591aeb845367b8a},
  intrahash = {d9d77561c5045bdc3c6d236f88d89a96},
  issn = {ISSN 1445-3312},
  journal = {Journal of Information Warfare},
  keywords = {cidds from:markus0412 ids myown netflow openstack security security:selected},
  month = {Dez},
  number = 4,
  pages = {41-54},
  timestamp = {2024-01-18T10:31:52.000+0100},
  title = {Creation of Flow-Based Data Sets for Intrusion Detection},
  url = {https://www.jinfowar.com/journal/volume-16-issue-4/creation-flow-based-data-sets-intrusion-detection},
  volume = 16,
  year = 2017
}

@article{ring2017creation,
  abstract = {Publicly available labelled data sets are necessary for evaluating anomaly-based Intrusion Detection Systems (IDS). However, existing data sets are often not up-to-date or not yet published because of privacy concerns. This paper identifies requirements for good data sets and proposes an approach for their generation. The key idea is to use a test environment and emulate realistic user behaviour with parameterised scripts on the clients. Comprehensive logging mechanisms provide additional information which may be used for a better understanding of the inner dynamics of an IDS. Finally, the proposed approach is used to generate the flow-based CIDDS-002 data set.},
  added-at = {2018-01-09T14:39:04.000+0100},
  author = {Ring, Markus and Wunderlich, Sarah and Grüdl, Dominik and Landes, Dieter and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2d9d77561c5045bdc3c6d236f88d89a96/markus0412},
  interhash = {7f7e9343f15548875591aeb845367b8a},
  intrahash = {d9d77561c5045bdc3c6d236f88d89a96},
  issn = {ISSN 1445-3312},
  journal = {Journal of Information Warfare},
  keywords = {cidds ids myown netflow openstack},
  month = {Dez},
  number = 4,
  pages = {41-54},
  timestamp = {2018-01-09T14:39:04.000+0100},
  title = {Creation of Flow-Based Data Sets for Intrusion Detection},
  url = {https://www.jinfowar.com/journal/volume-16-issue-4/creation-flow-based-data-sets-intrusion-detection},
  volume = 16,
  year = 2017
}