NLS | Natural Language Steganography : Encoding ciphertexts

by aalireza Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | NLS Summary

NLS is a Python library. NLS has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However NLS build file is not available. You can download it from GitHub.

Natural language Steganography: Encoding ciphertexts in form of natural language text. NLS encrypts a message with AES-128, and then transforms the resulting ciphertext to a Natural language text generated by a hidden Markov model. The goal is to encrypt a message without it looking encrypted.

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Quality

Security

License

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Support

NLS has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

NLS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NLS is current.

Quality

NLS has no bugs reported.

Security

NLS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

NLS is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

NLS releases are not available. You will need to build from source code and install.

NLS has no build file. You will be need to create the build yourself to build the component from source.

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NLS Key Features

No Key Features are available at this moment for NLS.

NLS Examples and Code Snippets

No Code Snippets are available at this moment for NLS.

Community Discussions

No Community Discussions are available at this moment for NLS.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install NLS

You can download it from GitHub.
You can use NLS 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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