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A powerful post-quantum cryptography encryption library combining CRYSTALS-Kyber768 with multi-layer symmetric encryption.
Originally developed for Bardo Notes for People (available on Google Play) and released in Bardo 1.1 Beta.
- CRYSTALS-Kyber768 KEM (NIST Post-Quantum Cryptography standard)
- Security Level 3 (192-bit equivalent)
- Quantum-computer resistant protection
- Forward secrecy through ephemeral Kyber keys
- AES-256-GCM (first layer)
- ChaCha20 (second layer)
- Enhanced Quantum Layer (16 rounds of SHA-512)
- Dynamic obfuscation
- HKDF-Extract with Kyber shared secret
- Multi-round hashing (3-5 rounds)
- PBKDF2 with 300,000 iterations
- Independent keys for each encryption layer
- Noise injection (10-15% of data size)
- Enhanced entropy from system parameters
- Timing attack protection (constant-time comparison)
- HMAC-SHA512 checksums
- Multiple key systems
- Decoy checksums for stealth
- v2.0 (current): CRYSTALS-Kyber768 + Enhanced protection
- v1.1 (legacy): Optimized quantum layer
- v1.0 (legacy): Full power mode
Add to your build.gradle.kts:
dependencies {
implementation("io.github.bardoquant:bardoquant:2.0.0")
}
import io.github.bardoquant.BardoQuantEncryption
import io.github.bardoquant.QuantumCleanResult
// Encrypt data
val originalData = "Your sensitive data here"
val encrypted = BardoQuantEncryption.encrypt(originalData)
// Decrypt data
when (val result = BardoQuantEncryption.decrypt(encrypted)) {
is QuantumCleanResult.Decrypted -> {
println("Decrypted: ${result.data}")
}
is QuantumCleanResult.NotEncrypted -> {
println("Data was not encrypted")
}
is QuantumCleanResult.Error -> {
println("Error: ${result.message}")
}
}
// Check if data is encrypted
if (BardoQuantEncryption.isEncrypted(encrypted)) {
println("Data is BardoQuantum protected")
}
import io.github.bardoquant.BardoQuantConfig
import io.github.bardoquant.ConsoleLogger
// Enable debug logging
BardoQuantConfig.enableDebugLogging = true
// Use custom logger
BardoQuantConfig.logger = ConsoleLogger()
// Adjust parameters
BardoQuantConfig.pbkdf2Iterations = 300000
BardoQuantConfig.quantumRounds = 16
import io.github.bardoquant.BardoQuantLogger
class MyCustomLogger : BardoQuantLogger {
override fun debug(message: String) {
// Your debug logging
}
override fun info(message: String) {
// Your info logging
}
override fun warn(message: String) {
// Your warning logging
}
override fun error(message: String, throwable: Throwable?) {
// Your error logging
}
}
BardoQuantConfig.logger = MyCustomLogger()
Original Data
↓
[1] Noise Injection (10-15%)
↓
[2] Kyber768 KeyPair Generation
↓
[3] KEM Encapsulation → Shared Secret
↓
[4] HKDF Key Derivation → AES, ChaCha20, Quantum Keys
↓
[5] PBKDF2 Enhancement (300k iterations)
↓
[6] AES-256-GCM Encryption
↓
[7] ChaCha20 Encryption
↓
[8] Dynamic Obfuscation
↓
[9] Enhanced Quantum Layer (16 rounds SHA-512)
↓
[10] HMAC-SHA512 Checksum
↓
Encrypted JSON Output
Encrypted JSON
↓
[1] Version Detection (v2.0, v1.1, v1.0)
↓
[2] Kyber Private Key Restoration
↓
[3] KEM Decapsulation → Shared Secret
↓
[4] Key Derivation (HKDF + PBKDF2)
↓
[5] Checksum Verification (timing-safe)
↓
[6] Enhanced Quantum Layer Removal
↓
[7] Deobfuscation
↓
[8] ChaCha20 Decryption
↓
[9] AES-256-GCM Decryption
↓
[10] Noise Removal
↓
Original Data
| Post-Quantum KEM | CRYSTALS-Kyber768 | N/A | NIST Level 3 (192-bit) |
| Symmetric Layer 1 | AES-256-GCM | 256 bits | 256-bit |
| Symmetric Layer 2 | ChaCha20 | 256 bits | 256-bit |
| Key Derivation | HKDF-SHA512 | N/A | 512-bit |
| Key Enhancement | PBKDF2-HMAC-SHA256 | 256 bits | 300k iterations |
| Quantum Layer | SHA-512 (16 rounds) | 512 bits | Quantum-resistant |
| Checksum | HMAC-SHA512 | 512 bits | 512-bit |
Protected Against:
- ✅ Quantum computer attacks (Shor's algorithm)
- ✅ Brute-force attacks
- ✅ Timing attacks (constant-time comparison)
- ✅ Side-channel attacks
- ✅ Known-plaintext attacks
- ✅ Chosen-plaintext attacks
- ✅ Man-in-the-middle attacks (forward secrecy)
Assumptions:
- Secure key storage (user's responsibility)
- Secure random number generation (system entropy)
- No malicious code execution environment
BardoQuant was originally developed for Bardo Notes for People, a secure note-taking application available on Google Play.
App Features:
- Post-quantum encryption for your notes
- Secure local storage
- Privacy-focused design
- No data collection
Download: Bardo Notes for People on Google Play
Version History:
- Bardo 1.1 Beta - BardoQuant v2.0 with Kyber768 released
Example test:
import org.junit.jupiter.api.Test
import kotlin.test.assertEquals
import kotlin.test.assertTrue
class BardoQuantTest {
@Test
fun testEncryptionDecryption() {
val original = "Test data for encryption"
val encrypted = BardoQuantEncryption.encrypt(original)
assertTrue(BardoQuantEncryption.isEncrypted(encrypted))
val result = BardoQuantEncryption.decrypt(encrypted)
assertTrue(result is QuantumCleanResult.Decrypted)
val decrypted = (result as QuantumCleanResult.Decrypted).data
assertEquals(original, decrypted)
}
}
- Kotlin 1.9.20+
- Bouncy Castle 1.77+ (PQC provider)
- Gson 2.10.1+ (JSON serialization)
- Kotlinx Coroutines 1.7.3+ (optional, for async operations)
git clone https://github.com/yourusername/bardo-quant.git
cd bardo-quant
./gradlew build
This project is licensed under the MIT License - see the LICENSE file for details.
Main Functions:
// Encrypt data
fun encrypt(data: String): String
// Decrypt data
fun decrypt(encryptedData: String): QuantumCleanResult
// Check if data is encrypted
fun isEncrypted(data: String): Boolean
Result Types:
sealed class QuantumCleanResult {
data class Decrypted(val data: String)
data class NotEncrypted(val data: String)
data class Error(val message: String)
}
- Key Management: Always store encryption keys securely
- Production Use: Test thoroughly before production deployment
- Backward Compatibility: v2.0 can decrypt v1.0 and v1.1 encrypted data
- Performance: Quantum-resistant encryption is computationally intensive
- Updates: Keep dependencies updated for security patches
Typical performance on modern hardware:
| Key Generation | 10-50ms | Kyber768 keypair |
| Encryption (1KB) | 50-150ms | Full multi-layer |
| Decryption (1KB) | 50-150ms | Full verification |
| Encryption (1MB) | 500ms-2s | Scales with data size |
- Add support for stream encryption
- Implement key rotation mechanisms
- Add support for additional PQC algorithms
- Performance optimizations
- Hardware security module (HSM) integration
- Mobile-specific optimizations
Q: Is this library production-ready?
A: Yes, it has been used in production in Bardo Notes for People app.
Q: What is the performance impact?
A: Post-quantum encryption is more computationally intensive than traditional encryption. Expect 2-5x overhead compared to AES-only encryption.
Q: Can I use this with Android?
A: Yes! This library was originally designed for Android. Just ensure Bouncy Castle is properly configured.
Q: How do I migrate from v1.x?
A: v2.0 automatically detects and decrypts v1.0 and v1.1 formats. Simply decrypt old data and re-encrypt with v2.0.
Q: Is the encrypted data portable?
A: Yes, encrypted data is JSON-formatted and can be transferred between systems.
- NIST for standardizing post-quantum cryptography
- Bouncy Castle team for excellent cryptographic library
- The CRYSTALS-Kyber team for the KEM algorithm
- All contributors and users of Bardo Notes for People
For questions, issues, or collaboration opportunities:
- Email: [email protected]
Made with ❤️ by the BardoQuantum Security Team
Protecting your data in the post-quantum era.
