#encryption #security #quantum

bin+lib sqep

SQEP – Secure Quantum Encryption Protocol powered by ContiCrypt

1 unstable release

0.1.0 Jul 22, 2025

#2289 in Cryptography

MIT license

19KB
298 lines

🔐 SQEP – Secure Quantum Encryption Protocol (ContiCrypt Engine)

SQEP is a next-generation cryptography crate developed by Kaizen Raijin for use in AI-powered systems, hospitals, secure communications, and high-trust environments.

It combines AES-256-GCM encryption with quantum-inspired entropy scrambling and (optionally) zlib compression — forming a robust defense mechanism powered by the proprietary ContiCrypt Engine.


⚙️ Features

  • encrypt_lite()MIT Licensed, fully auditable, ideal for general security needs.
  • 🔒 encrypt_plus()Premium encryption with advanced entropy & compression (requires plus feature).
  • 🧬 Quantum-inspired scrambling via ChaCha-derived XOR entropy mask.
  • 🌀 Zlib compression support for stealth & optimized data flow.
  • 🧾 Offline license validation for secure Plus feature gating.
  • 🛡️ Ideal for:
    • AI systems
    • Medical & health records
    • Confidential embedded applications
    • Military-grade storage

📦 Installation

Add to your Cargo.toml:

➕ SQEP Lite (Open Source):

sqep = { version = "0.1" }

🔐 SQEP Plus (Premium):

sqep = { version = "0.1", features = ["plus"] }

🧪 Example Usage

use sqep::ZeroshieldCipher;

fn main() {
    let cipher = ZeroshieldCipher::new();
    let data = b"Top secret AI payload";

    let (encrypted, meta) = cipher.encrypt_with_meta(data);
    println!("Encrypted: {:?}", encrypted);
    println!("Meta: {:?}", meta);

    let decrypted = cipher.decrypt(&encrypted).expect("Decryption failed");
    println!("Decrypted: {:?}", String::from_utf8_lossy(&decrypted));
}

📜 Licensing
Version	License	Notes
Lite	MIT	Free for personal and commercial use
Plus	Proprietary	Requires a valid license key

To request a commercial Plus license:

📧 kaizenraijin@proton.me
🌐 Project Links

    📦 Crates.io

    🛠️ Source Code

🚀 Author

Kaizen Raijin
Visionary cryptographer & AI systems engineer
🔗 https://github.com/kaizenraijin


---

Dependencies

~7–20MB
~312K SLoC