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CLIne prompt for QuantumSecureComms

2025-10-052 turns32,120 charsgpt-5
quantum-cryptographypost-quantum-securityprompt-engineering

Summary

User requested a CLIne prompt for QuantumSecureComms, a post-quantum secure communication framework.

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write a CLIne prompt based on the following: # QuantumSecureComms: Post-Quantum Secure Communication Framework A production-grade implementation of quantum-resilient cryptographic protocols for secure communications, demonstrating practical applications of post-quantum cryptography (PQC), quantum key distribution (QKD) simulation, and quantum-enhanced security mechanisms described in SIPRI's 2025 military and security quantum technologies primer. ## Table of Contents - [Overview](#overview) - [Educational Objectives](#educational-objectives) - [Core Concepts from SIPRI Research](#core-concepts-from-sipri-research) - [Architecture](#architecture) - [Technologies Used](#technologies-used) - [Installation](#installation) - [Usage](#usage) - [Project Roadmap](#project-roadmap) - [Implementation Milestones](#implementation-milestones) - [Security Considerations](#security-considerations) - [Contributing](#contributing) - [References](#references) - [License](#license) ## Overview QuantumSecureComms is an educational and research-focused toolkit that implements quantum-resilient cryptographic systems to address the imminent threat posed by Cryptographically Relevant Quantum Computers (CRQCs). According to SIPRI's 2025 assessment, Q-day—when quantum computers can break RSA-2048 encryption—may arrive within 8-15 years. This project demonstrates practical defenses against both current harvest-now-decrypt-later (HNDL) attacks and future quantum cryptanalysis. The system combines: - **NIST-standardized Post-Quantum Cryptography** (CRYSTALS-Kyber, CRYSTALS-Dilithium, SPHINCS+) - **Simulated Quantum Key Distribution** (BB84, E91 protocols) - **Hybrid Classical-Quantum Security** (layering PQC with QKD simulation) - **Quantum Random Number Generation** (QRNG using quantum circuit measurement) - **Secure Channel Establishment** with quantum-resistant algorithms This is a **teaching project** designed to help developers understand quantum cryptography concepts through hands-on implementation, not a production security system. ## Educational Objectives By building this project incrementally, you will learn: 1. **Quantum Computing Fundamentals**: qubits, superposition, entanglement, measurement, quantum gates 2. **Post-Quantum Cryptography**: lattice-based encryption, hash-based signatures, key encapsulation mechanisms 3. **Quantum Key Distribution**: BB84 protocol, eavesdropping detection, unconditional security principles 4. **Quantum Random Number Generation**: extracting true randomness from quantum measurements 5. **Hybrid Cryptographic Systems**: combining classical and quantum-resistant approaches 6. **Security Engineering**: key lifecycle management, secure channel establishment, authentication 7. **Quantum Circuit Design**: using Qiskit to build and simulate quantum protocols ## Core Concepts from SIPRI Research ### The Quantum Cryptographic Threat **Current Reality** (2025): - Public-key cryptography (RSA, ECC, Diffie-Hellman) secures most internet communications - Adversaries are already intercepting encrypted data for future decryption (HNDL strategy) - Sensitive government/military data must remain confidential for decades **Q-Day Scenario** (estimated 8-15 years): - Quantum computers running Shor's algorithm can factor large numbers exponentially faster - RSA-2048 could be broken in hours instead of billions of years - All previously harvested encrypted data becomes readable **Defense Strategy** (implemented in this project): 1. **Post-Quantum Cryptography (PQC)**: Deploy NIST-standardized algorithms resistant to quantum attacks 2. **Quantum Key Distribution (QKD)**: Use quantum physics laws to detect eavesdropping 3. **Hybrid Approach**: Layer PQC + QKD for defense-in-depth ### Quantum Key Distribution Principles QKD enables two parties to share encryption keys with security guaranteed by quantum physics: - **BB84 Protocol**: Encodes bits in photon polarization states; any measurement by an eavesdropper disturbs the quantum state - **Eavesdropping Detection**: Comparing measurement bases reveals interception attempts - **Unconditional Security**: Not based on computational complexity but physical laws *Note: This project simulates QKD using Qiskit quantum circuits, not real photonic hardware.* ### Quantum Random Number Generation True randomness is essential for cryptographic keys. Classical pseudorandom generators can be predicted; quantum measurement outcomes are fundamentally random: - Measure qubits in superposition states - Outcomes are truly random per quantum mechanics - Provides cryptographically secure random bits ## Architecture ``` QuantumSecureComms/ │ ├── Core Modules │ ├── PQC Engine (NIST algorithms) │ ├── QKD Simulator (BB84/E91 protocols) │ ├── QRNG Generator (quantum measurement) │ └── Hybrid Key Manager (PQC + QKD keys) │ ├── Communication Layer │ ├── Secure Channel (encrypted messaging) │ ├── Authentication (Dilithium signatures) │ └── Session Management │ ├── Quantum Simulation │ ├── Qiskit Circuit Builder │ ├── Quantum State Preparation │ └── Measurement & Analysis │ └── CLI & API ├── Key Generation Commands ├── Secure Messaging Interface └── Protocol Demonstrations ``` ## Technologies Used ### Cryptography - **PQCrypto Libraries**: `liboqs` (Open Quantum Safe) or pure Python implementations - **NIST PQC Algorithms**: CRYSTALS-Kyber (KEM), CRYSTALS-Dilithium (signatures), SPHINCS+ (hash-based signatures) ### Quantum Computing - **IBM Qiskit**: Quantum circuit simulation and execution - **Qiskit Aer**: High-performance quantum circuit simulator - **NumPy/SciPy**: Mathematical operations on quantum states ### Development - **Python 3.9+**: Primary language - **Click**: CLI framework - **pytest**: Testing framework - **Cryptography**: Additional classical crypto primitives - **Docker**: Containerized deployment ## Installation ### Prerequisites - Python 3.9 or higher - pip package manager - Git - (Optional) Docker for containerized deployment ### Step-by-Step Setup ```bash # 1. Clone the repository git clone https://github.com/YourOrg/QuantumSecureComms.git cd QuantumSecureComms # 2. Create virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # 3. Install dependencies pip install --upgrade pip pip install -r requirements.txt # 4. Install development dependencies (optional) pip install -r requirements-dev.txt # 5. Verify installation python -m pytest tests/ -v # 6. Run example python examples/basic_qkd_demo.py ``` ### Requirements.txt (Core Dependencies) ``` qiskit>=1.0.0 qiskit-aer>=0.13.0 numpy>=1.24.0 scipy>=1.10.0 cryptography>=41.0.0 click>=8.1.0 pycryptodome>=3.19.0 liboqs-python>=0.10.0 # NIST PQC algorithms ``` ## Usage ### Generate Quantum Random Numbers ```bash $ qsecure qrng --bits 256 Generated 256 quantum random bits: 10110101001110110... Entropy: 7.98 bits/byte (theoretical max: 8.0) ``` ### Simulate QKD Key Exchange ```bash $ qsecure qkd --protocol BB84 --bits 1024 === BB84 Quantum Key Distribution === 1. Alice prepares 1024 qubits in random bases 2. Bob measures in random bases 3. Basis reconciliation (public channel) 4. Eavesdropping check (QBER analysis) Quantum Bit Error Rate (QBER): 1.2% Status: SECURE (threshold: 11%) Final shared key: 512 bits Key material: a3f8c29d1b4e... ``` ### Generate PQC Key Pairs ```bash $ qsecure keygen --algorithm Kyber1024 === Post-Quantum Key Generation === Algorithm: CRYSTALS-Kyber-1024 Security Level: NIST Level 5 (256-bit quantum security) Generated: Public Key: kyber_pk_20250605.pem (1568 bytes) Private Key: kyber_sk_20250605.pem (3168 bytes) ``` ### Encrypt/Decrypt Messages (Hybrid Mode) ```bash # Encrypt with PQC + QKD-derived key $ qsecure encrypt --input message.txt --recipient alice_pk.pem --hybrid Establishing hybrid secure channel... 1. QKD key exchange (512 bits) 2. Kyber key encapsulation 3. AES-256-GCM encryption with derived key Encrypted: message.txt.enc (metadata: hybrid-kyber-qkd) # Decrypt $ qsecure decrypt --input message.txt.enc --key alice_sk.pem Decrypting hybrid ciphertext... QKD key verification: OK Kyber decapsulation: OK Message recovered: "This is a quantum-secure message." ``` ### Secure Chat Simulation ```bash # Terminal 1 (Alice) $ qsecure chat --name Alice --port 5000 QKD handshake with Bob... OK (512-bit key) Dilithium signature verification... OK [Alice] >> Hello from the quantum-secure channel! # Terminal 2 (Bob) $ qsecure chat --name Bob --connect localhost:5000 QKD handshake with Alice... OK (512-bit key) Dilithium signature verification... OK [Bob] << Hello from the quantum-secure channel! [Bob] >> This message is safe from quantum computers! ``` ## Project Roadmap ### Phase 1: Foundations (Weeks 1-2) **Goal**: Understand quantum computing basics and set up development environment **Deliverables**: - Qiskit installation and first quantum circuits - Single-qubit and two-qubit gate operations - Quantum measurement and state visualization - Basic quantum randomness extraction **Learning Checkpoints**: - [ ] Create superposition states with Hadamard gates - [ ] Implement quantum entanglement (Bell states) - [ ] Measure quantum states and analyze probability distributions - [ ] Extract 1000 random bits from quantum measurements --- ### Phase 2: Quantum Random Number Generation (Weeks 3-4) **Goal**: Build a cryptographically secure QRNG **Deliverables**: - QRNG module using multiple quantum circuits - Entropy analysis and statistical testing - CLI tool for generating random bytes - Integration with system crypto libraries **Implementation Steps**: 1. Design quantum circuits for randomness extraction 2. Implement measurement and bit collection 3. Add post-processing (von Neumann debiasing) 4. Validate randomness with NIST statistical test suite 5. Create command-line interface **Learning Checkpoints**: - [ ] Explain why quantum randomness is superior to classical PRNG - [ ] Implement von Neumann bias correction - [ ] Pass NIST randomness tests (15 tests) - [ ] Generate 1MB of quantum random data --- ### Phase 3: BB84 Protocol Implementation (Weeks 5-7) **Goal**: Simulate complete quantum key distribution **Deliverables**: - BB84 protocol with basis selection - Eavesdropping detection (QBER calculation) - Privacy amplification techniques - Network simulation (Alice/Bob/Eve) **Implementation Steps**: 1. **Qubit Preparation** (Alice): - Generate random bits and random bases - Encode bits in quantum states (|0⟩, |1⟩, |+⟩, |−⟩) - Create quantum circuits for each qubit 2. **Measurement** (Bob): - Choose random measurement bases - Measure qubits in chosen bases - Record measurement outcomes 3. **Sifting** (Classical Channel): - Alice and Bob announce bases publicly - Keep only bits where bases matched - Discard others (expect 50% retention) 4. **Error Checking**: - Compare random sample of remaining bits - Calculate Quantum Bit Error Rate (QBER) - QBER < 11% indicates security (no eavesdropper) 5. **Privacy Amplification**: - Apply error correction codes - Use hash functions to compress key - Final shared secret key **Learning Checkpoints**: - [ ] Implement photon polarization encoding in Qiskit - [ ] Simulate eavesdropper (Eve) measuring qubits - [ ] Detect eavesdropping via elevated QBER - [ ] Complete full BB84 exchange with 1024-bit key --- ### Phase 4: Post-Quantum Cryptography (Weeks 8-10) **Goal**: Integrate NIST-standardized PQC algorithms **Deliverables**: - Kyber key encapsulation mechanism (KEM) - Dilithium digital signatures - SPHINCS+ hash-based signatures - Comparison benchmarks vs RSA/ECC **Implementation Steps**: 1. **Install liboqs**: ```bash pip install liboqs-python ``` 2. **Kyber Integration**: - Generate Kyber public/private key pairs - Encapsulate symmetric keys - Decapsulate to recover keys - Use for AES encryption 3. **Dilithium Signatures**: - Sign messages with Dilithium private key - Verify signatures with public key - Implement signature-then-encrypt pattern 4. **Performance Testing**: - Benchmark key generation time - Measure encryption/decryption speed - Compare key sizes (RSA vs Kyber) **Learning Checkpoints**: - [ ] Explain lattice-based cryptography principles - [ ] Generate Kyber-1024 key pairs - [ ] Sign and verify 100 messages with Dilithium - [ ] Demonstrate Kyber resistance to Shor's algorithm (conceptual) --- ### Phase 5: Hybrid Cryptographic System (Weeks 11-13) **Goal**: Combine PQC + QKD for defense-in-depth **Deliverables**: - Hybrid key derivation function (HKDF) - Layered encryption (PQC wrapping QKD keys) - Key lifecycle management - Secure session establishment protocol **Implementation Steps**: 1. **Key Derivation**: - Combine QKD key + Kyber shared secret - Use HKDF (HMAC-based KDF) to derive session keys - Implement key rotation policies 2. **Hybrid Encryption**: ```python # Pseudocode qkd_key = bb84_exchange(alice, bob) kyber_pk, kyber_sk = kyber_keygen() kyber_ct, kyber_ss = kyber_encap(kyber_pk) master_key = HKDF(qkd_key + kyber_ss) plaintext = encrypt_aes_gcm(data, master_key) ``` 3. **Authentication**: - Use Dilithium signatures for identity verification - Implement challenge-response protocol - Prevent man-in-the-middle attacks 4. **Session Protocol**: - Handshake: QKD → Kyber KEM → Dilithium auth - Data transfer: AES-256-GCM with derived keys - Teardown: Secure key erasure **Learning Checkpoints**: - [ ] Design hybrid key derivation scheme - [ ] Implement complete handshake protocol - [ ] Test against simulated MITM attack - [ ] Document security properties of hybrid approach --- ### Phase 6: Secure Communication Application (Weeks 14-16) **Goal**: Build user-facing secure messaging system **Deliverables**: - CLI-based chat application - Automated QKD + PQC handshake - Real-time encrypted messaging - Message authentication and integrity **Implementation Steps**: 1. **Network Layer**: - Socket-based communication (TCP) - Message framing protocol - Connection state management 2. **Crypto Layer**: - Automatic key negotiation - Per-message authentication tags - Perfect forward secrecy (new keys per session) 3. **User Interface**: - Simple chat CLI with Click - Display security indicators - Show key exchange progress 4. **Error Handling**: - Network failure recovery - Key agreement timeout handling - Tampering detection alerts **Learning Checkpoints**: - [ ] Implement TCP socket client/server - [ ] Automate full hybrid handshake - [ ] Exchange 100 authenticated messages - [ ] Demonstrate eavesdropping resistance --- ### Phase 7: Testing & Documentation (Weeks 17-18) **Goal**: Production-quality testing and comprehensive docs **Deliverables**: - Unit tests (90%+ coverage) - Integration tests (full protocol runs) - Security audit checklist - API documentation and tutorials **Implementation Steps**: 1. **Unit Tests**: - Test each quantum circuit independently - Verify QRNG entropy - Validate PQC correctness 2. **Integration Tests**: - End-to-end QKD simulation - Hybrid encryption/decryption cycle - Multi-user chat scenarios 3. **Security Review**: - Static analysis with Bandit - Dependency vulnerability scanning - Key storage security review 4. **Documentation**: - API reference (Sphinx) - Tutorial notebooks (Jupyter) - Architecture diagrams - Threat model document **Learning Checkpoints**: - [ ] Achieve 90%+ test coverage - [ ] Pass all security linters - [ ] Write 5 tutorial notebooks - [ ] Document threat model --- ### Phase 8: Advanced Features (Weeks 19-20+) **Goal**: Cutting-edge enhancements and research directions **Optional Enhancements**: - E91 protocol (entanglement-based QKD) - Quantum digital signatures - Quantum secret sharing - Integration with real quantum hardware (IBM Quantum) - GUI application (PyQt5/Tkinter) - Multi-party secure computation - Quantum-resistant blockchain **Research Extensions**: - Compare different PQC algorithm families - Analyze quantum gate error rates impact on QKD - Implement quantum error correction codes - Study quantum network topologies ## Implementation Milestones ### Milestone 1: Hello Quantum World **Deadline**: Week 2 **Objective**: Run first quantum circuit ```python from qiskit import QuantumCircuit from qiskit_aer import Aer # Create 1-qubit circuit qc = QuantumCircuit(1, 1) qc.h(0) # Hadamard gate (superposition) qc.measure(0, 0) # Simulate backend = Aer.get_backend('qasm_simulator') job = backend.run(qc, shots=1000) result = job.result() counts = result.get_counts() print(counts) # Should be ~50/50 split: {'0': 501, '1': 499} ``` **Success Criteria**: - Circuit runs without errors - Measurement outcomes show 50% probability for |0⟩ and |1⟩ - Understand superposition concept --- ### Milestone 2: Quantum Entanglement **Deadline**: Week 2 **Objective**: Create and measure Bell states ```python # Bell state: (|00⟩ + |11⟩)/√2 qc = QuantumCircuit(2, 2) qc.h(0) # Superposition on qubit 0 qc.cx(0, 1) # CNOT: entangle qubits 0 and 1 qc.measure([0, 1], [0, 1]) # Result: only '00' and '11' (never '01' or '10') ``` **Success Criteria**: - Observe perfect correlation between qubits - Zero probability for anti-correlated outcomes - Explain entanglement vs classical correlation --- ### Milestone 3: Working QRNG **Deadline**: Week 4 **Objective**: Generate cryptographic random numbers ```bash $ python qrng.py --bits 256 Output: 32 random bytes (256 bits) Entropy: 7.97 bits/byte Statistical tests: PASSED (NIST suite) ``` **Success Criteria**: - Generate arbitrary-length random bit strings - Pass at least 10/15 NIST tests - Implement von Neumann debiasing --- ### Milestone 4: BB84 Simulation (No Eve) **Deadline**: Week 6 **Objective**: Complete key exchange between Alice and Bob ```python # Expected output: """ === BB84 Protocol === Alice sent: 1000 qubits Bob measured: 1000 qubits Basis reconciliation: 487 matches (48.7%) Error checking: QBER = 0.4% Final key length: 450 bits Key agreement: SUCCESS """ ``` **Success Criteria**: - ~50% basis match rate - QBER < 5% (no eavesdropper) - Shared key matches between Alice and Bob --- ### Milestone 5: Eavesdropping Detection **Deadline**: Week 7 **Objective**: Detect Eve's presence via elevated QBER ```python # With Eve intercepting: """ === BB84 Protocol (Eve Present) === Alice sent: 1000 qubits Eve intercepted: 1000 qubits (50% wrong basis) Bob measured: 1000 qubits Basis reconciliation: 505 matches (50.5%) Error checking: QBER = 24.8% Status: ATTACK DETECTED (threshold: 11%) Protocol ABORTED """ ``` **Success Criteria**: - QBER increases to ~25% with Eve - Successfully detect and abort - Understand no-cloning theorem --- ### Milestone 6: PQC Key Exchange **Deadline**: Week 9 **Objective**: Use Kyber for secure key encapsulation ```python from liboqs import KEM # Alice generates keypair kem = KEM('Kyber1024') public_key = kem.generate_keypair() # Bob encapsulates secret ciphertext, shared_secret_bob = kem.encap_secret(public_key) # Alice decapsulates shared_secret_alice = kem.decap_secret(ciphertext) assert shared_secret_alice == shared_secret_bob print("PQC key exchange successful!") ``` **Success Criteria**: - Successfully encapsulate/decapsulate keys - Verify key agreement - Benchmark performance vs RSA --- ### Milestone 7: Hybrid Encryption **Deadline**: Week 12 **Objective**: Encrypt data using QKD + Kyber hybrid ```python # Combine keys qkd_key = bb84_protocol(alice, bob) kyber_ct, kyber_ss = kyber_kem(bob_pk) master_key = HKDF(qkd_key, kyber_ss) # Encrypt with AES-GCM ciphertext = aes_gcm_encrypt(plaintext, master_key) ``` **Success Criteria**: - Successfully combine QKD + PQC keys - Encrypt and decrypt test messages - Document security properties --- ### Milestone 8: Working Chat App **Deadline**: Week 16 **Objective**: Two users exchange messages securely ```bash # Terminal 1 $ python chat.py --name Alice --port 5000 Waiting for connection... Bob connected. Performing QKD... QKD complete (512 bits). Performing Kyber KEM... Hybrid handshake complete. Dilithium auth OK. [Alice] >> Hello Bob! # Terminal 2 $ python chat.py --name Bob --connect localhost:5000 Connecting to Alice... QKD complete (512 bits). Performing Kyber KEM... Hybrid handshake complete. Dilithium auth OK. [Bob] << Hello Bob! [Bob] >> Hi Alice! This is quantum-secure! ``` **Success Criteria**: - Automatic handshake - Real-time bidirectional messaging - Message authentication - Clean error handling --- ### Milestone 9: Full Test Suite **Deadline**: Week 18 **Objective**: Comprehensive automated testing ```bash $ pytest tests/ -v --cov=qsecure --cov-report=html tests/test_qrng.py::test_entropy PASSED tests/test_bb84.py::test_no_eve PASSED tests/test_bb84.py::test_with_eve PASSED tests/test_kyber.py::test_kem PASSED tests/test_dilithium.py::test_signatures PASSED tests/test_hybrid.py::test_key_derivation PASSED tests/test_chat.py::test_handshake PASSED tests/test_chat.py::test_messaging PASSED Coverage: 92% ``` **Success Criteria**: - 90%+ code coverage - All critical paths tested - No security linter warnings --- ## Security Considerations ### Known Limitations This project is **educational** and has important security limitations: 1. **Simulation Only**: QKD uses simulated quantum states, not real photonics. Real implementations face noise, loss, and hardware security issues. 2. **Local Execution**: No protection against local adversaries with physical access. 3. **Implementation Security**: Not audited by cryptographic experts. May contain timing channels, side-channel vulnerabilities, or implementation flaws. 4. **Key Management**: Simplified key storage. Production systems need Hardware Security Modules (HSMs). 5. **Network Security**: Basic transport layer. Production needs TLS + certificate validation. ### Security Best Practices - **Never use for actual sensitive communications** - Always combine multiple layers (PQC + classical crypto) - Implement proper key lifecycle (generation → use → rotation → destruction) - Use hardware RNGs in production (not simulated QRNG) - Follow NIST PQC migration guidelines - Regular security updates for all dependencies ### Threat Model **Protected Against**: - Harvest-now-decrypt-later quantum attacks - Shor's algorithm (via PQC) - Grover's algorithm (via 256-bit security levels) - Passive eavesdropping (via QKD detection) **NOT Protected Against**: - Side-channel attacks (timing, power, EM) - Supply chain attacks on dependencies - Malware on endpoints - Social engineering - Physical access to systems ## Contributing Contributions welcome! This is an educational project, so focus on: - **Code Clarity**: Prioritize readability over optimization - **Documentation**: Explain the "why" not just the "how" - **Educational Value**: Include comments teaching quantum/crypto concepts - **Testing**: Every feature needs tests ### Contribution Workflow 1. Fork the repository 2. Create feature branch: `git checkout -b feature/qkd-e91-protocol` 3. Implement with tests and docs 4. Run full test suite: `pytest tests/` 5. Run linters: `black . && flake8 . && bandit -r qsecure/` 6. Submit PR with detailed description ### Code Style - **Python**: PEP 8, Black formatter - **Docstrings**: Google style - **Type Hints**: Required for all functions - **Comments**: Explain quantum/crypto concepts inline ## References ### Primary Source - SIPRI (Stockholm International Peace Research Institute). *Military and Security Dimensions of Quantum Technologies: A Primer*. Michal Krelina, July 2025. DOI: 10.55163/ZVTL1529. ### Post-Quantum Cryptography - NIST. *NIST Releases First 3 Finalized Post-Quantum Encryption Standards*. August 13, 2024. - NIST FIPS 203 (CRYSTALS-Kyber), FIPS 204 (CRYSTALS-Dilithium), FIPS 205 (SPHINCS+). ### Quantum Key Distribution - C. H. Bennett and G. Brassard. *Quantum cryptography: Public key distribution and coin tossing*. Proceedings of IEEE International Conference on Computers, Systems and Signal Processing, 1984. - A. K. Ekert. *Quantum cryptography based on Bell's theorem*. Physical Review Letters, 1991. ### Quantum Computing - IBM Qiskit Documentation: https://qiskit.org/documentation/ - M. A. Nielsen and I. L. Chuang. *Quantum Computation and Quantum Information*. Cambridge University Press, 2010. ### Security Standards - German BSI. *Status of Quantum Computer Development*. Version 2.1, August 2024. - ETSI GR QKD 007 (QKD implementations). ## License This project is licensed under the **MIT License** - see LICENSE file for details. **Disclaimer**: This is educational software. Not intended for protecting real sensitive information. No warranty provided. Use at your own risk. --- ## Quick Start Example ```python # examples/quickstart.py from qsecure import QRNG, BB84, Kyber, HybridChannel # 1. Generate quantum random key qrng = QRNG(backend='qasm_simulator') random_bytes = qrng.generate(32) # 256 bits # 2. QKD between Alice and Bob alice = BB84.Alice() bob = BB84.Bob() qkd_key = alice.exchange_key(bob, n_qubits=1024) # 3. PQC key encapsulation kyber = Kyber(security_level=1024) pk, sk = kyber.keypair() ct, ss = kyber.encapsulate(pk) # 4. Hybrid encryption channel = HybridChannel(qkd_key=qkd_key, pqc_key=ss) ciphertext = channel.encrypt(b"Quantum-secure message") plaintext = channel.decrypt(ciphertext) print("Success! Message:", plaintext) ``` Run: `python examples/quickstart.py` --- **Built with ❤️ for the quantum-secure future** *"The goal is not to control quantum's development, but to ensure that it strengthens rather than destabilizes global peace and security."* - SIPRI 2025
Here’s a **CLIne master prompt** designed to guide your coding environment (like Ollama + CLIne + VS Code setup) through the full build process of the **QuantumSecureComms** project — structured for maximum clarity, modularization, and production-readiness while preserving educational value. --- # 🧠 CLIne Master Prompt — QuantumSecureComms ## Project Purpose You are to build **QuantumSecureComms**, a **production-grade, educational framework** demonstrating **quantum-resilient cryptographic protocols** integrating: - NIST-standardized **Post-Quantum Cryptography (PQC)** - Simulated **Quantum Key Distribution (QKD)** (BB84 & E91) - **Quantum Random Number Generation (QRNG)** via Qiskit - **Hybrid Classical–Quantum Security** systems - **Secure Messaging Application** with PQC + QKD handshake All implementations should be **modular**, **well-documented**, **tested**, and **Docker-ready**. --- ## CLIne Execution Context **Language:** Python 3.9+ **Frameworks:** Click (for CLI), pytest, Qiskit, liboqs-python **Output goal:** Functional CLI tool `qsecure` with modular quantum and classical crypto subsystems. **Command Pattern Examples:** ```bash qsecure qrng --bits 256 qsecure qkd --protocol BB84 --bits 1024 qsecure keygen --algorithm Kyber1024 qsecure encrypt --input message.txt --hybrid qsecure chat --name Alice --port 5000 ``` --- ## Directives to CLIne ### 1️⃣ Repository Scaffolding Create the following structure using Python best practices: ``` QuantumSecureComms/ ├── qsecure/ │ ├── __init__.py │ ├── cli.py # CLI entrypoint (Click) │ ├── pqc/ # PQC module │ │ ├── kyber.py │ │ ├── dilithium.py │ │ └── sphincs.py │ ├── qkd/ # Quantum Key Distribution │ │ ├── bb84.py │ │ └── e91.py │ ├── qrng/ # Quantum RNG │ │ └── qrng.py │ ├── hybrid/ # Hybrid encryption / HKDF │ │ └── hybrid.py │ ├── comms/ # Chat + Secure channel │ │ ├── chat.py │ │ └── secure_channel.py │ └── utils/ │ ├── crypto_utils.py │ ├── key_management.py │ └── logger.py │ ├── examples/ │ └── quickstart.py │ ├── tests/ │ ├── test_qrng.py │ ├── test_bb84.py │ ├── test_kyber.py │ ├── test_hybrid.py │ └── test_chat.py │ ├── requirements.txt ├── requirements-dev.txt ├── Dockerfile ├── pyproject.toml ├── README.md └── LICENSE ``` --- ### 2️⃣ Core Implementation Sequence #### **Phase 1: QRNG** - Build `QRNG` class using Qiskit (Aer backend). - Generate arbitrary number of random bits. - Integrate von Neumann debiasing + entropy metrics. - CLI command: `qsecure qrng --bits N`. #### **Phase 2: BB84 Protocol** - Create `Alice` and `Bob` classes with random basis and bit generation. - Simulate qubit measurement and basis reconciliation. - Compute QBER to detect eavesdropping. - CLI command: `qsecure qkd --protocol BB84 --bits N`. #### **Phase 3: PQC Integration** - Use `liboqs-python` for Kyber (KEM) and Dilithium (signatures). - Implement functions for: - `keygen` → generate key pairs - `encrypt/decrypt` → Kyber KEM for session key - `sign/verify` → Dilithium - CLI command: `qsecure keygen --algorithm Kyber1024`. #### **Phase 4: Hybrid Cryptography** - Merge QKD and PQC keys with HKDF. - AES-256-GCM for data encryption. - CLI command: `qsecure encrypt --input file --hybrid`. #### **Phase 5: Secure Chat App** - TCP-based client/server for real-time messaging. - Perform automated QKD + PQC handshake → Hybrid key. - Authenticate with Dilithium. - CLI command: `qsecure chat --name Alice --port 5000`. --- ### 3️⃣ Educational Instrumentation - Inline comments explaining quantum concepts. - CLI flags for verbose mode (`--explain`) to output step-by-step protocol actions. - Markdown notebooks (`docs/tutorials/`) for: - BB84 concepts - PQC algorithms - Hybrid crypto workflow --- ### 4️⃣ Testing & Quality - `pytest --cov=qsecure` with target ≥ 90 %. - Add unit and integration tests for each module. - Use `bandit`, `flake8`, `black` for security and style checks. - Add CI configuration for GitHub Actions. --- ### 5️⃣ Docker Environment Create Dockerfile: ```dockerfile FROM python:3.11-slim WORKDIR /app COPY . . RUN pip install --upgrade pip && pip install -r requirements.txt ENTRYPOINT ["python", "-m", "qsecure.cli"] ``` --- ### 6️⃣ Documentation - Auto-generate API docs via Sphinx. - Include architecture diagram and threat model. - Add README badges for license, build, coverage. - Reference SIPRI 2025 and NIST PQC sources with links. --- ### 7️⃣ Security Checklist - [ ] Implement key zeroization post-use. - [ ] Simulate Eve for QKD attack testing. - [ ] Add QBER threshold alerts. - [ ] Validate all PQC operations via liboqs. - [ ] Prevent key reuse and ensure forward secrecy. --- ### 8️⃣ Deliverables - Fully functional `qsecure` CLI. - `examples/quickstart.py` working demo. - Test coverage ≥ 90 %. - Complete README + docstrings for every class/function. - Docker container builds and runs successfully. - Educational notebooks for key protocols. --- ### 9️⃣ Execution Prompt Template Copy and run in CLIne to initialize development: ```bash cl start "QuantumSecureComms" --desc " Build a modular Python CLI implementing post-quantum secure communication: 1. QRNG via Qiskit 2. QKD BB84 & E91 3. PQC via liboqs (Kyber, Dilithium, SPHINCS+) 4. Hybrid AES-GCM layer 5. Secure chat application Follow educational documentation principles and test coverage >90%. " ``` --- ### 🧭 Summary **Goal:** Develop a research-grade educational toolkit demonstrating quantum-resilient cryptography in a realistic application environment. **Outcome:** `qsecure` CLI + Qiskit simulation + liboqs PQC + hybrid encryption = quantum-secure communications demo. **Ethos:** Teach quantum security engineering through transparent, open-source, hands-on code. --- Would you like me to add a **second file** `checklist.md` formatted for CLIne iteration (with task checkboxes and deadlines per milestone)? That’s typically the next step after the master prompt.
gpt-5