25519 | Key agreement and signing , X25519 keys | Cryptography library

 by   FredericJacobs C Version: 2.0.2 License: GPL-2.0

kandi X-RAY | 25519 Summary

kandi X-RAY | 25519 Summary

25519 is a C library typically used in Security, Cryptography applications. 25519 has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Key agreement (X25519) and signing (ed25519), X25519 keys.
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              25519 has a low active ecosystem.
              It has 37 star(s) with 47 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 5 have been closed. On average issues are closed in 13 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of 25519 is 2.0.2

            kandi-Quality Quality

              25519 has 0 bugs and 0 code smells.

            kandi-Security Security

              25519 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              25519 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              25519 is licensed under the GPL-2.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              25519 releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            25519 Key Features

            No Key Features are available at this moment for 25519.

            25519 Examples and Code Snippets

            No Code Snippets are available at this moment for 25519.

            Community Discussions

            QUESTION

            How to flag an outlier(s) /anomaly in selected columns in python?
            Asked 2021-Apr-06 at 00:26

            In the dataset df below. I want to flag the anomalies in all columns except A, B,C and L.

            Any value less than 1500 or greater than 400000 is regarded as an anomaly.

            ...

            ANSWER

            Answered 2021-Apr-06 at 00:26

            If you set the subset as the argument of the apply function, you will get what you want.

            Source https://stackoverflow.com/questions/66948562

            QUESTION

            How to flag outliers/anomalies in 10 csv files and export the flagged dataframes to 1 xlsx file with 10 sheets
            Asked 2021-Apr-03 at 18:56

            I want to do the following :

            1. flag anomalies in 10 .csv files in a folder (all 10 files have the same column names A-J).

            2. export the flagged data frames to 1 .xlsx with 10 sheets (append the 10 flagged df to 1 xlsx file)

            NOTE: The anomaly here is defined as any value lower than 1500 and higher than 100000 in each row.

            To flag one file at a time, the code looks something like this :

            ...

            ANSWER

            Answered 2021-Apr-03 at 18:56

            I think you can use a loop here to get the read the csv files and apply the style then save as excel in each sheet, note that I have used the same path for reading the csv's and saving the output excel, you can change the path to output by defining a path2 and using it in the writer = .... variable:

            Source https://stackoverflow.com/questions/66934361

            QUESTION

            How to flag an anomaly in a data frame (row wise)?
            Asked 2021-Apr-02 at 14:49

            Python newbie here, I will like to flag sporadic numbers that are obviously off from the rest of the row. In simple terms, flag numbers that seem not to belong to each row. Numbers in 100s and 100000s are considered 'off the rest'

            ...

            ANSWER

            Answered 2021-Apr-01 at 20:35

            I guess you could define a little better what you consider "off from the rest". This is very important when working with data.

            Do you want to flag the outliers of your column B distribution for example? You could simply do a calculation of quartiles for your distributions and append those to a dict of some kind, those which are either below the lowest quartile or over the highest quartile. But you obviously would need more than those 5 rows you showed.

            There are whole fields dedicated to identification of outliers using machine learning as well. The assumptions you are taking to define what should be considered "off from the rest" are very important.

            Read this if you'd like more info on specifics of outlier detection: https://towardsdatascience.com/a-brief-overview-of-outlier-detection-techniques-1e0b2c19e561

            Source https://stackoverflow.com/questions/66910807

            QUESTION

            Generate EdDSA 25519 key pair for JOSE/NODEJS
            Asked 2021-Mar-26 at 14:50

            Here is the command I used on ubuntu 20.x to generate key pair of EdDSA 25519 for JOSE/NODEJS (14.16) app:

            ...

            ANSWER

            Answered 2021-Mar-26 at 14:50

            You can use Node.js (>= 12.0.0) for this as well.

            Source https://stackoverflow.com/questions/66802775

            QUESTION

            Will my Swift code using UnsafeMutablePointer be safe and/or produce undefined behaviour?
            Asked 2021-Mar-06 at 02:00

            I have a C library I need to use in my Swift code and a function thet expects an UnsafeMutablePointer that is 32 bytes long to generate a public key from an existing private key (crypto_sign_public_key). Here is a link to the docs of the C function I am calling: https://monocypher.org/manual/sign. I don't have much experience with C and pointers but I've read a few tutorials and have something that seems to be working perfectly.

            Aside from that though, I wanted to see if anyone with more experience than me might be able to say if this code is "safe" and/or will potentially produce undefined behaviour?

            ...

            ANSWER

            Answered 2021-Mar-06 at 02:00

            Your code is okay, because UInt8 is a trivial type and so doesn't require that you call initialize or deinitialize on the allocated memory.

            However, you can avoid the manual allocation and deallocation entirely, like this:

            Source https://stackoverflow.com/questions/66501481

            QUESTION

            How do I sign a curve25519 key in golang?
            Asked 2020-Jun-28 at 08:22

            I am trying to implement the X3DH algorithm from Signal in Go. However, I got stuck on how to sign the Public Signed PreKey.

            Per the specifications it is supposed to be an X25519 key. In looking at previous implementations on Github they generated a [32]byte key from the curve25519 package and then converted it to an ed25519 key and then signed it.

            However, the packages they used for the conversion are deprecated (github.com/agl/ed25519). Therefore, I either need to be able to convert the keys to ed25519 so I can sign them with the current ed25519 package (golang.org/x/crypto/25519) or implement a sign and verify function for curve25519 keys.

            ...

            ANSWER

            Answered 2020-Jun-26 at 15:07

            Ed25519 keys can be converted to X25519 keys easily, the twisted Edwards curve used by Ed25519 and the Montgomery curve used by X25519 are birationally equivalent.

            Points on the Edwards curve are usually referred to as (x, y), while points on the Montgomery curve are usually referred to as (u, v).

            You don't need a library to do the conversion, it's really simple...

            Source https://stackoverflow.com/questions/62586488

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

            Vulnerabilities

            No vulnerabilities reported

            Install 25519

            You can download it from GitHub.

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