An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center

Sean Oesch, Robert A. Bridges, Jared M. Smith, Justin M. Beaver, John R. Goodall, Kelly M. T. Huffer, Craig Miles, Daniel Scofield. An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020, Rhodes Island, Greece, November 2-6, 2020. pages 634-641, IEEE, 2020. [doi]

@inproceedings{OeschBSBGHMS20,
  title = {An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center},
  author = {Sean Oesch and Robert A. Bridges and Jared M. Smith and Justin M. Beaver and John R. Goodall and Kelly M. T. Huffer and Craig Miles and Daniel Scofield},
  year = {2020},
  doi = {10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00111},
  url = {https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00111},
  researchr = {https://researchr.org/publication/OeschBSBGHMS20},
  cites = {0},
  citedby = {0},
  pages = {634-641},
  booktitle = {2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020, Rhodes Island, Greece, November 2-6, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-7647-5},
}