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Operational analytics component of Open Network Insight - provides functions for interactive visualization, noise filters, white listing, and attack heuristics.

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Open Network Insight Ipython/Jupyter Front-End

The visualization repository contains all the front-end code and files related to the Open Network Insight visuals, such as styles, pages, data files, etc. Some of the technologies used are:


Folder Structure

ipython This is the ipython notebook server root folder, below are more details about child folders:

  • css: Pages style sheets
  • dataset: pages data files
  • fonts: pages fonts (Intel Clear font)
  • images: Images assets (Intel Logo/others)
  • js: JavaScript libraries (D3js, Jquery) and other utility scripts
  • master: Data analysis notebooks
  • op: DevOps notebooks
  • user: User related notebooks and data, it also keeps data generated for an specific date, which is being used to display the charts in the main pages
  • vast: Vast/training data related pages and scripts.

ipython->vast It contains the pages, scripts, notebooks and data files related to the vast/training data. It is basically a copy of the main root folder but with slightly code differences to fit the needs of the training data.


Operational Analitycs

IPython NoteBooks

##Views

###Analyst View (index_sconnects.html) The Analyst view provides a dashboard showing the top 250 suspicious connects.

###Ingest Summary (index_ingest.html) Interactive histogram dashboard that shows the amount of data captured in a certain period of time.

###Story Board (storyboard_sconnect.html) Executive Briefing dashboard

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Operational analytics component of Open Network Insight - provides functions for interactive visualization, noise filters, white listing, and attack heuristics.

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