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This post is published in relation to the @utopian-io & @davinci.polyglot translation project, by a selected Translator for the Italian language

Repository

• Github
• Crowdin

Introduction

Hello everyone!
Welcome to my 43rd translation report for the Node.js project!
Today I continued long crypto.md translation, this time without too much difficulty but with very interesting strings!
Keep reading to check out more about this new translation report!
Enjoy!

Project Details

Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine. It uses a non-blocking event-driven I/O model, which makes it a lightweight and efficient framework. I believe in open source projects and I think it's essential to work on this great project because the package ecosystem of Node.js, called npm, is the largest ecosystem of open source libraries in the world.
Given its importance, its translation into many languages is almost due.
I'll use my skills to make an high quality translation and maybe to learn something more about Node.js world.

Contribution Specifications

Translation Overview

This is my 43rd translation for the Node.js project.
Today I continued the crypto.md translation and as I said in the previous report I'm continuing to improve myself post after post.
I learned how to handle this file and this time the work was much smoother, even if some difficult interpretation words were not lacking.
The final result has improved further and I think I can do even better: 3642 total words and 1382 clean words.
In this 43rd part I have translated the last class, Verify Class, and later I started and finished the crypto module methods and properties chapter, full of methods and properties, it seemed to no longer end.

Words left in English

This is a list of words I considered to left in English in order to give a more understandable translation.
My choice is based both on the project owners guidelines and on the web research carried out by myself.

Difficult words/sentences to translate in Italian

In this report I have not met words or sentences which put me in serious difficulty or which I have not been able to translate properly.

What did I learn new?

• Dictionary Attack - What is a Dictionary Attack and what is its role in crypto.md: it is a type of brute force attack technique for defeating a cipher or authentication mechanism by trying to determine its decryption key or passphrase by trying hundreds or sometimes millions of likely possibilities, such as words in a dictionary.
  Source
• PBKDF2 - What is the Password-Based Key Derivation Function 2 and how it works in crypto.md: it is a key derivation function with a sliding computational cost, aimed to reduce the vulnerability of encrypted keys to brute force attacks.
  PBKDF2 applies a pseudorandom function, such as hash-based message authentication code (HMAC), to the input password or passphrase along with a salt value and repeats the process many times to produce a derived key, which can then be used as a cryptographic key in subsequent operations.
  Source
• Ciphertext - What is the meaning of Ciphertext in crypto.md and why I decided to leave it in English: it is the result of encryption performed on plaintext using an algorithm, called a cipher. Ciphertext is also known as encrypted or encoded information because it contains a form of the original plaintext that is unreadable by a human or computer without the proper cipher to decrypt it. Decryption, the inverse of encryption, is the process of turning ciphertext into readable plaintext. Ciphertext is not to be confused with codetext because the latter is a result of a code, not a cipher.
  Source
• Entropy - What is the Entrophy and how it works in crypto.md: it is the randomness collected by an operating system or application for use in cryptography or other uses that require random data. This randomness is often collected from hardware sources (variance in fan noise or HDD), either pre-existing ones such as mouse movements or specially provided randomness generators. A lack of entropy can have a negative impact on performance and security.
  Source

Suggestions/Revisions for Project Owners (Pull Requests etc.)

None in this report.

Languages

• Source Language: English
• Target Language: Italian
• Experience: You can check my experiences into my translator application

Word Count

• Total Words: 3642
• Clean Words: 1382

Proof of Authorship

• Crowdin Profile Activity
• Crowdin Project Activity
• Proof of Clean Words

Feedback & Conclusion

What I said yesterday was done today and I will continue to do it and improve myself.
What do you think about it? Did you know what I learned today?
Let me know, leave a comment below!
Thank you very much for your time and see you in the next post!