This project presents a comprehensive simulation platform for secure communication in autonomous drone networks, leveraging quantum key distribution (QKD) protocols alongside hybrid cryptography techniques. It models realistic physical channel conditions, including atmospheric turbulence and optical losses, and evaluates various quantum hacking attack scenarios such as intercept-resend, photon number splitting, and Trojan horse attacks. The platform supports multiple QKD protocols (BB84, B92, SARG04, E91, CVQKD) and provides detailed performance metrics including key rate, quantum bit error rate (QBER), and privacy amplification. Additionally, it integrates drone flight dynamics, battery models, and environmental factors to enable end-to-end security analysis in mobile quantum networks. The source code, simulation scripts, configuration files, and documentation are openly available and aimed at advancing research and education in quantum secure communications.
This project presents a comprehensive simulation platform for secure communication in autonomous drone networks, leveraging quantum key distribution (QKD) protocols alongside hybrid cryptography techniques. It models realistic physical channel conditions, including atmospheric turbulence and optical losses, and evaluates various quantum hacking attack scenarios such as intercept-resend, photon number splitting, and Trojan horse attacks. The platform supports multiple QKD protocols (BB84, B92, SARG04, E91, CVQKD) and provides detailed performance metrics including key rate, quantum bit error rate (QBER), and privacy amplification. Additionally, it integrates drone flight dynamics, battery models, and environmental factors to enable end-to-end security analysis in mobile quantum networks. The source code, simulation scripts, configuration files, and documentation are openly available and aimed at advancing research and education in quantum secure communications.
Quantum communication leverages the principles of quantum mechanics, such as superposition and entanglement, for inherently secure data transmission that can detect any eavesdropping attempt. This research addresses the limitations of classical encryption by proposing a hybrid Quantum Key Distribution (QKD) protocol that integrates the Bennett & Brassard 1984 Protocol(BB84) and Scarani-Acín-Ribordy-Gisin 2004 Protocol(SARG04) protocols. The primary objective is to enhance resilience against advanced threats such as Photon Number Splitting (PNS) and collective attacks, which are significant vulnerabilities in standard QKD implementations. The quantum channel is modeled using Qiskit Aer's noise framework, incorporating fiber attenuation (0.1−0.25dB/km), depolarization (1−5%), and detector dark counts (0.01−0.03probability), varied across 10 rounds. A simulation spanning 10 rounds evaluated key metrics, including Quantum Bit Error Rate (QBER), photon loss, and final key entropy. The results demonstrate the protocol's robustness, achieving a 0 % QBER in 50 % of the trials, representing a significant improvement in secure key generation. The average QBER across all rounds was 12.5 %, which is well below the 11 % theoretical threshold for secure communication. The highest QBER recorded was5 0 %in Round 02, where high depolarization and an eavesdropping attempt were simulated. The work's findings indicate that the hybrid BB84-SARG04 protocol significantly enhances the security and reliability of quantum communication.
Providing secure and scalable cryptographic key distribution in dynamic, infrastructure-less environments remains a major challenge. This work investigates the feasibility and performance of dynamic drone-based mesh networks for Quantum Key Distribution (QKD). A detailed Python-based simulation model was developed, incorporating realistic quantum and classical communication channels, multiple drone mobility strategies, key management mechanisms (including revocation), and simulated adversarial conditions such as jamming and interception. The objectives were to model dynamic environments, evaluate key distribution efficiency, and analyze the influence of configuration and adversarial factors on key availability. Results show that adversarial attacks substantially reduce key availability, emphasizing the need for robust security and adaptive key management. Directed mobility strategies demonstrated improved distribution efficiency compared to random movement. Overall, the findings indicate that dynamic drone mesh networks hold strong potential for scalable QKD deployment in challenging, mobile environments, though performance and resilience strongly depend on network configuration, link quality, and mitigation strategies.
Secure communication has become essential due to the rapid increase in cyber-attacks and data security threats in modern networks. Traditional communication systems mainly rely on classical security methods, which may become vulnerable to advanced attacks. Quantum Key Distribution (QKD) improves secure communication by generating cryptographic keys using quantum principles, making key interception extremely difficult. In this work, a Quantum Random Number Generator (QRNG) is integrated with classical communication to develop a hybrid quantum-classical communication framework. The QRNG generates highly random bits that improve authentication, randomness, and key security. The proposed system compares three QKD protocols: BB84, B92, and E91 using different bit sizes of 8000, 10000, and 13000 bits. The protocols are evaluated using important metrics such as QBER, key rate, entropy, erasure rate, throughput, and correlation. Experimental results show that all protocols achieved entropy values close to 1 and correlation values near zero, indicating strong randomness and secure key generation. Among the evaluated protocols, E91 achieved lower QBER values and higher key rates, while BB84 showed stable and reliable performance. B92 produced comparatively higher error rates under similar conditions. The throughput remained nearly 278–281 bits/sec across all experiments. A ranking-based analysis confirmed that E91 provides the best balance between security, efficiency, and communication performance, making it suitable for future quantum-secure communication systems.
Providing secure and scalable cryptographic key distribution in dynamic, infrastructure-less environments remains a major challenge. This work investigates the feasibility and performance of dynamic drone-based mesh networks for Quantum Key Distribution (QKD). A detailed Python-based simulation model was developed, incorporating realistic quantum and classical communication channels, multiple drone mobility strategies, key management mechanisms (including revocation), and simulated adversarial conditions such as jamming and interception. The objectives were to model dynamic environments, evaluate key distribution efficiency, and analyze the influence of configuration and adversarial factors on key availability. Results show that adversarial attacks substantially reduce key availability, emphasizing the need for robust security and adaptive key management. Directed mobility strategies demonstrated improved distribution efficiency compared to random movement. Overall, the findings indicate that dynamic drone mesh networks hold strong potential for scalable QKD deployment in challenging, mobile environments, though performance and resilience strongly depend on network configuration, link quality, and mitigation strategies.
The rapid advancement of quantum computing poses a significant threat to classical cryptographic systems that form the backbone of modern digital security.Algorithms such as RSA and ECC, which rely on the computational difficulty of integer factorization and discrete logarithm problems, become vulnerable to quantum attacks, particularly Shor's algorithm.This project presents a comprehensive Quantum Key Distribution (QKD) Simulator that implements the BB84 and E91 protocols using IBM's Qiskit quantum computing framework, providing an interactive platform for understanding, simulating, and analyzing quantum-safe key exchange mechanisms.The simulator features a full-stack architecture with a FastAPI backend powered by Python and Qiskit for quantum circuit execution, and a React 19 frontend with TypeScript for interactive visualization.The BB84 protocol implementation supports configurable qubit counts, multiple measurement bases (Z, X, and Diagonal), Eve's intercept-resend attack simulation with adjustable interception rates, and Quantum Bit Error Rate (QBER) calculation with a security threshold of 8.5%.The E91 protocol implementation uses entangled Bell state pairs with configurable measurement angles, CHSH inequality violation testing for quantum security verification, and reverse gate anti-eavesdropping mechanisms.Additionally, the system includes an AES encryption module that uses quantum-generated keys from BB84 and E91 simulations to perform AES-128, AES-192, and AES-256 encryption, with privacy amplification for keys shorter than the required length.A simulation history system with SQLite and PostgreSQL support enables experiment tracking, comparison, and analysis.The project demonstrates the practical application of quantum mechanics principles to cryptographic security and serves as an educational tool for understanding the transition from classical to quantum-safe cryptography.
Secure communication is crucial for intelligent infrastructure networks, especially in the field of vehicle-to-everything (V2X) communication. Real-time information ex change between vehicles is the cornerstone of traffic safety and intelligent decision making. However, existing V2X communication systems primarily rely on classical cryptographic security mechanisms, while the rapid development of quantum com puting fundamentally threatens their security guarantees. Quantum key distribu tion (QKD), based on the no-cloning principle of quantum mechanics, is considered a promising technology against quantum attacks. However, most existing studies focus on theoretical security analysis or static fiber optic transmission scenarios, lacking systematic evaluation of the complete QKD protocol workflow in highly dynamic V2X environments. To fill research gaps, this thesis constructs a vehicle-to-vehicle quantum key distribution (V2V-QKD) framework based on the Veins simulation platform, integrated with OMNeT++ and SUMO. The framework implements qubit preparation and trans mission, measurement, quantum bit error rate (QBER) estimation, error correction, and privacy amplification, aiming to evaluate the feasibility and robustness of QKD in dynamic V2V communication scenarios. This thesis designs two sets of experiments. The first set of experiments evaluates parameter robustness by varying the number of qubits transmitted in a single session and analyzing its impact on quantum error rate (QBER), final key length, and key generation rate. Experimental results show that when 𝑁raw = 800, the system achieves a favorable balance between QBER estimation stability and key generation reliability. The second set of experiments compares the performance of BB84 and SARG04 under gradually increasing eavesdropping and attack intensity. Results show that under no eavesdropping conditions, BB84 can stably generate longer keys, but its performance degrades significantly under attacks; while SARG04 generates shorter keys under ideal conditions, but remains relatively stable under increased attack interference. Comprehensive results demonstrate that, under optimized configuration, QKD can provide stable and secure key generation for V2V communication. Furthermore, an adaptive protocol selection strategy enhances system-level security resilience. This thesis verifies the feasibility of QKD in vehicular network environments and provides an experimental foundation and design reference for secure vehicular communication systems capable of withstanding quantum-era threats.