Inscrypt 🔒

📝 Problem Statement

Develop a comprehensive steganographic system that encrypts secret messages and embeds them within digital media files, then provides secure extraction and decryption capabilities to recover the original hidden information.

🎯 Project Goal

The primary goal of the Inscrypt project is to develop a comprehensive steganographic system capable of encrypting secret messages and embedding them within digital media files. It also provides secure extraction and decryption capabilities to recover the original hidden information, prioritizing robustness, undetectability, and algorithm versatility.

✨ Key Features

• 🔒 Encryption & Hiding: Encrypt messages (text/image data) and embed within images using various algorithms and steganographic techniques (e.g., LSB). Supports multiple encryption layers.
• 🔓 Decryption & Extraction: Robust system to decrypt data and extract hidden messages from images, including hiding the encryption type and steganographic method used.
• 🛡️ Robustness & Undetectability: Prioritizes resilience against detection and compromise for maximum undetectability.
• 🎛️ Algorithm Versatility: Supports a wide array of encryption algorithms and steganographic techniques across image, video, and audio formats.
• 🎭 Data Obfuscation: Obfuscates various data types, including executables, secret messages, and hidden audio messages using techniques like Fourier transforms.
• 🖼️ Media Compatibility: Supports various image formats and potentially other media types (audio, video).
• ⚙️ Automation: Automates key generation and media file preparation, with simple/advanced option menus and safety information.

🚀 Technologies

Frontend

• Framework: Next.js
• UI Library: ShadCN UI
• Icons: React-Icons
• Styling: Tailwind CSS v4
• Animations: Framer Motion (for smooth, creative UI animations)

Backend

• Framework: FastAPI (Python)
• API Structure: Routes organized in a routes folder with versioning (e.g., v1).

🔑 Encryption & Hashing Methods

Encryption Algorithms:

AES, DES, DES3, ChaCha20, ChaCha20_Poly1305, Blowfish, ARC2, ARC4, Salsa20, blockalgo, CAST, PKCS1_OAEP, PKCS1_v1_5, XOR

Hashing Methods:

keccak, SHA1, SHA224, SHA256, SHA384, SHA512, SHA3_224, SHA3_256, SHA3_384, SHA3_512, TupleHash128, TupleHash256, SHAKE128, SHAKE256, cSHAKE128, cSHAKE256, KangarooTwelve, Whirlpool, blake

📁 Project Structure

The project is structured as a monorepo using Turbo Repo, featuring:

• Backend: A FastAPI Python server.
• Frontend: A Next.js based frontend.

📚 Dataset

The project utilizes a dataset of "cover" files for steganography operations:

• Images (PNG): 10 sample PNG images.
• Audio (MP3): 5 sample MP3 audio files.
• Video (MP4): 5 sample MP4 video files.

These files serve as carriers for encrypted secret messages.

🛠️ Setup and Running Instructions

Prerequisites

• Node.js and npm/pnpm installed.
• Python 3.x and pip installed.

Installation

1. Clone the repository:

   git clone https://github.com/codex-mohan/Inscrypt.git
   cd Inscrypt

2. Install dependencies using pnpm:

   pnpm install

Running the Application

To start both the frontend and backend development servers simultaneously, use Turbo Repo:

turbo run dev

This command will:

• Start the FastAPI backend server (likely on http://localhost:8000 or similar).
• Start the Next.js frontend development server (likely on http://localhost:3000).

Running Backend Separately

pnpm --filter inscrypt-api dev

Running Frontend Separately

pnpm --filter my-v0-project dev

🤝 Contributing

Contributions are welcome! Please refer to the contributing guidelines for more information.

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🧑🏻‍🤝‍🧑🏻 Team

Group No. 32: K-Means Krew

👨‍💻 Author

• Mohana Krishna - ID: 23BAI10630