Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/aadityabhoyarr/haystack-file-hiding-system
HFHS (Haystack File Hiding System) is designed to protect your important files by hiding them within a complex maze of folders. Just like finding a needle in a haystack
https://github.com/aadityabhoyarr/haystack-file-hiding-system
folder hfhs pyhon
Last synced: about 1 month ago
JSON representation
HFHS (Haystack File Hiding System) is designed to protect your important files by hiding them within a complex maze of folders. Just like finding a needle in a haystack
- Host: GitHub
- URL: https://github.com/aadityabhoyarr/haystack-file-hiding-system
- Owner: aadityabhoyarr
- Created: 2024-04-27T08:25:45.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-04-28T07:08:14.000Z (9 months ago)
- Last Synced: 2024-09-28T10:23:16.376Z (3 months ago)
- Topics: folder, hfhs, pyhon
- Language: Python
- Homepage:
- Size: 747 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Haystack File Hiding System (HFHS)
## Overview
HFHS (Haystack File Hiding System) is a sophisticated file protection system that creates an intricate maze of nested folders to secure files. Just as finding a needle in a haystack is nearly impossible without knowing where to look, locating files within this complex directory structure becomes extremely challenging without knowledge of the exact pattern used.
## System Components
### 1. Folder Generation Script (`main.py`)
This script generates a complex folder structure, making it difficult to locate specific files without prior knowledge of the pattern used for folder creation.
### 2. Cleanup Utility (`del.py`)
This script deletes the folders and files created by the `main.py` script in a fast and efficient manner.
## Usage Guide
### Basic Setup and Configuration
1. Open `main.py` and configure key parameters:
```python
root_folder = "Folders" # Base folder name
desired_nesting_level = 5 # Depth of folder structure
folders = [str(num) for num in range(10)] # Subfolder names (0-9)
num_threads = 205 # Number of parallel threads
```
2. Run the folder generation script:
```bash
python main.py
```
3. To remove the structure:
```bash
python del.py
```
### Folder Structure Visualization
The system creates a nested structure like this:
```
Folders4/
├── 0/
│ ├── 0/
│ │ ├── 0/
│ │ ├── 1/
│ │ └── ...
│ ├── 1/
│ │ ├── 0/
│ │ ├── 1/
│ │ └── ...
│ └── ...
├── 1/
│ ├── 0/
│ ├── 1/
│ └── ...
└── ...
```
### Performance Metrics
Execution times based on a 4-core/4-thread CPU:
| Nesting Level | Folders Created | Time Required |
|---------------|----------------|---------------|
| 3 | 1,110 | 0.74 seconds |
| 4 | 11,110 | 2.42 seconds |
| 5 | 111,110 | 67.62 seconds |
| 6 | 1,111,110 | 16.7 minutes |
| 7 | 11,111,110 | 4.13 hours |
| 8 | 111,111,110 | 2.5 days |
| 9 | 1,111,111,110 | 37.69 days |
| 10 | 11,111,111,110 | 560.26 days |
Here's a graphical representation of the folder structure created by HFHS at nesting level 3:
## Force-directed graph drawing of 1110 Folders at level 3
