mnemosyne | Normalizer for honeypot data

 by   johnnykv Python Version: Current License: GPL-3.0

kandi X-RAY | mnemosyne Summary

kandi X-RAY | mnemosyne Summary

mnemosyne is a Python library. mnemosyne has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Normalizer for honeypot data.
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            kandi-support Support

              mnemosyne has a low active ecosystem.
              It has 41 star(s) with 37 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 11 open issues and 18 have been closed. On average issues are closed in 14 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mnemosyne is current.

            kandi-Quality Quality

              mnemosyne has 0 bugs and 0 code smells.

            kandi-Security Security

              mnemosyne has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mnemosyne code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mnemosyne is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              mnemosyne releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mnemosyne and discovered the below as its top functions. This is intended to give you an instant insight into mnemosyne implemented functionality, and help decide if they suit your requirements.
            • Normalize relation data
            • Create a session object from data
            • Make a url from the data
            • Generate the dork
            • Start processing of the hpfeed data
            • Return a list of HPHfeed data from the database
            • Set errors on HttpFeed
            • Normalize incoming data
            • Return the service for the given port number
            • Checks if the given ip is a valid IPv4 address
            • Get a list of dork objects
            • Serialize to JSON
            • Pre - aggregation of historical hpfeeds data
            • Update feed stats
            • List of supported session protocols
            • Simple aggregation function
            • This function is used to normalize the data
            • Generate checksum list
            • List Feeds
            • Normalize data
            • List urls
            • Get list of files
            • Get all sessions by query
            • List files types supported by MongoDB
            Get all kandi verified functions for this library.

            mnemosyne Key Features

            No Key Features are available at this moment for mnemosyne.

            mnemosyne Examples and Code Snippets

            No Code Snippets are available at this moment for mnemosyne.

            Community Discussions

            QUESTION

            d3.js multiple relationship visual / linkHorizontal() / tangled tree
            Asked 2020-Nov-05 at 03:58

            I am trying to mimic a visual that depicts multiple relationships by time period, like this (time period = generation):

            However, my efforts have not panned out thus far; I'm still getting blank output in the browser. Hard coded data and code in the snippet:

            ...

            ANSWER

            Answered 2020-Oct-22 at 09:30

            I think a lot of what you did, specifically around data wrangling, was not necessary, especially since you called d3.hierarchy() and d3.cluster() afterwards. I've replaced this with d3.stratify (which deals with hierarchical data that is not yet in the right format).

            I've also replaced d3.cluster with d3.tree() because it was unclear to me why you'd want to use d3.cluster here. Your data has multiple parents, multiple roots and even floating nodes, and d3 is not meant to deal with that. My workaround has been to attach pseudonodes to every level, so as to make sure that there is only one node and that all nodes are at the right level at all times. To make sure the links were drawn correctly, I've written a custom getLinks function, that can deal with multiple parents.

            I've also written a custom link generator that draws the links somewhat in the way that you want them. d3 doesn't offer much of flexibility here, but you can use the source code for inspiration.

            Edit

            I've changed the logic to be more focused on which "partners" got a child, so both links to the same child are on the same level - like in your picture. I've also drawn the nodes based on how many partners they have, and have given every link an offset so the lines are more distinct.

            I've sorted the nodes so that the real pro-creators are at the top (Zeus), which gives a more balanced and less crowded view.

            Source https://stackoverflow.com/questions/64423115

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install mnemosyne

            You can download it from GitHub.
            You can use mnemosyne like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/johnnykv/mnemosyne.git

          • CLI

            gh repo clone johnnykv/mnemosyne

          • sshUrl

            git@github.com:johnnykv/mnemosyne.git

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