mnemosyne | Normalizer for honeypot data
kandi X-RAY | mnemosyne Summary
kandi X-RAY | mnemosyne Summary
Normalizer for honeypot data.
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Top functions reviewed by kandi - BETA
- 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
mnemosyne Key Features
mnemosyne Examples and Code Snippets
Community Discussions
Trending Discussions on mnemosyne
QUESTION
ANSWER
Answered 2020-Oct-22 at 09:30I 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.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mnemosyne
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.
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