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Project Description: Inscrypt

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.

Key Features and Requirements:

Encryption and Hiding Mechanism

  • Develop methods to encrypt messages (text or image data) and embed this encrypted data within images.
  • Support various encryption algorithms (e.g., AES, DES, DES3, ChaCha20, Blowfish, ARC2, ARC4, Salsa20, blockalgo, CAST, PKCS1_OAEP, PKCS1_v1_5, XOR).
  • Implement diverse steganographic techniques, with LSB as a common suggestion, but encouraging exploration of others.
  • Accommodate various key handling scenarios.

Decryption and Extraction Mechanism

  • Implement a robust system for decrypting previously encrypted data and extracting hidden messages from images, given the necessary keys.
  • The system should hide the encryption type and steganographic method used within the image itself.

Robustness and Undetectability

  • Prioritize resilience against detection and compromise, aiming for the highest possible undetectability.

Algorithm Versatility

  • Maximize support for a wide array of encryption algorithms and steganographic techniques.
  • Allow for multiple encryption layers (e.g., (AES, blowfish, AES)).
  • Utilize various image, video, and audio steganographic techniques.

Data Obfuscation

  • Include several types of data that can be obfuscated, such as:
    • Volume inside video frames in video files.
    • Executables in file images, audio, and videos.
    • Secret encrypted messages.
    • Hiding hidden audio messages using Fourier transforms inside normal audio files.

Media Format Compatibility

  • Expand support for various image formats and potentially other media types (e.g., audio, video).

Automated Key and Media Preparation

  • Design the solution to minimize user input by automating key generation and media file preparation for embedding.
  • Provide simple and advanced option menus for user choice.
  • Include detailed information on the application's safety.

Project Structure:

The project is a monorepo (turbo repo) featuring:

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

Frontend Technologies:

  • Next.js
  • ShadCN UI
  • React-Icons (instead of Lucide React)
  • Tailwind CSS v4
  • Framer Motion (for smooth animations across UI components)

Backend API:

  • API routes should be placed in a routes folder with proper naming conventions.
  • API versioning (e.g., v1, v2) should be followed for future endpoint management, starting with v1.

Hashing Methods:

  • Include the following hashing methods, properly mentioned on their respective pages:
    • keccak, SHA1, SHA224, SHA256, SHA384, SHA512, SHA3_224, SHA3_256, SHA3_384, SHA3_512, TupleHash128, TupleHash256, SHAKE128, SHAKE256, cSHAKE128, cSHAKE256, KangarooTwelve, Whirlpool, blake.

Recommended Libraries:

  • Python: pycryptodome, pillow, numpy, opencv-python, cryptography, librosa, pydub, matplotlib, pathlib, scipy, moviepy, soundfile, fastapi.
  • JavaScript/TypeScript: NextJS, shadcn UI, tailwind css, react-icons, framer-motion.

Dataset:

The provided dataset includes "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 will serve as carriers for encrypted secret messages.