https://github.com/5uperpalo/nii-project-darknet-density-based-analysis

https://github.com/5uperpalo/nii-project-darknet-density-based-analysis

Science Score: 13.0%

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    Low similarity (2.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

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  • Host: GitHub
  • Owner: 5uperpalo
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 10.3 MB
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Created over 6 years ago · Last pushed over 6 years ago
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Readme

README.md

NII project : Darknet Density based analysis

Scripts related to Darknet Density based analysis done during the stay at NII :

  • “Data scientist (fixed-term 6 months) at NII Tokyo, Japan”
    08/03/2019 – 03/09/2019
    Application of the unsupervised machine learning approaches to network traces (MAWI, Darknet). Generalization and improvement of the hierarchical density-based clustering approach to network measurements interpretation proposed during AIT Vienna internship.
  • http://pavol-mulinka.eu/

Scripts are machine learning extension of the ideas proposed by Jun Liu and Kensuke Fukuda in: * Liu, Jun, and Kensuke Fukuda. "An evaluation of darknet traffic taxonomy." Journal of Information Processing 26 (2018): 148-157. * Liu, Jun, and Kensuke Fukuda. "Towards a taxonomy of darknet traffic." 2014 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2014.

Owner

  • Name: Pavol Mulinka
  • Login: 5uperpalo
  • Kind: user
  • Location: Barcelona, ES
  • Company: CTTC

Data Scientist / Machine learning Enthusiast & former network engineer

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