feds-shield 0.0.4

A simple cryptographic program

UPDATE: 05/22/2025 Uploaded this project to pypi.org. Program is now installable by
pip install feds_shield.

Here is an important technical detail to keep in mind when using the package installed from pypi. The program feds_shield requires a folder data to store relevant data related to its encryption/decryption process. So a user that wants to include feds_shield in their program,

from feds_shield import *,

needs to be in a directory that has the folder data. For example, if a user is in the directory ass/cock, there should be a folder with the path ass/cock/data. For simplicity, the user should copy and paste the files from the data folder of this Github repository into their own.

NOTE: bug has been fixed.
DISCLAIMER

Program has a zero-division bug that does not allow division if denominator is 0 at any point in a character's encoding by the bi-key, thereby causing a crash. END_DISCLAIMER

Description

Automaton that can encrypt messages using a structure comprised of layers centered around a point (centerion).

explanation

FEDS shield is a cipher that stands for Friend/Enemy/Difference/Similarity shield.

FEDS shield consists of n arbitary layers and each of those layers consists of an arbitrary number of integers. Each of those integers is called a "cell". The "flattened" version of the shield (in one dimenion) is an encoding for a particular character.

Behind the FEDS shield structure, found in the file structure.py with accompanying comments, is a structure called a Centerion in the file centerion.py that determines if each of the cells is a friend or an enemy.

FEDS shield can only perform encodings on string messages. Given a string message m, each character a in m will go through a cipher that produces the flattened version of the FEDS shield and a padding consisting of the Centurion's enemies.

Run tests by going into this directory. Then
python -m unittest discover tests.

emphasis

Not to be thought of as a secure cryptographic protocol due to two reasons:

1. *.py implementation.
2. program is a draft;has not demonstrated to work:
   • no proof-of-concept paper
   • no statistical test results included

examples

See the following screenshots for examples:

questions?

For any questions and/or concerns, contact me @ [e-mail]