The expansion of quantum computing puts classical cryptographic systems at risk, and thus there is a need for quantum-resistant solutions to secure messaging and e-voting. This paper introduces a two-in-one application developed with Flask (backend), Firebase (database), and IBM Quantum (live QKD operations), secured by the BB84 Quantum Key Distribution (QKD) protocol. The messaging module uses BB84 to produce unbreakable encryption keys by way of photon polarization, and the evoting system encrypts votes using quantum keys, providing end-to-end security. Firebase stores user information and anonymous votes securely, and Flask oversees serverside logic, including real-time quantum key generation through IBM Quantum’s cloud-based quantum processors. The incorporation of IBM Quantum’s Qiskit framework allows for real-time simulation and running of BB84, with error rates below 3% in quantum channel tests. Tamper-evident logs and decentralized verification are used in place of centralized databases for e-voting, which reduces fraud vulnerabilities. Real-world implementation shows that the system can scale, as Firebase supports 1,000+ concurrent users and IBM Quantum provides sub-second latency for key generation. This paper tackles weaknesses of traditional systems by combining quantum cryptography with contemporary full-stack technologies, offering a solid, deployable solution for electoral integrity and secure communication.
The expansion of quantum computing puts classical cryptographic systems at risk, and thus there is a need for quantum-resistant solutions to secure messaging and e-voting. This paper introduces a two-in-one application developed with Flask (backend), Firebase (database), and IBM Quantum (live QKD operations), secured by the BB84 Quantum Key Distribution (QKD) protocol. The messaging module uses BB84 to produce unbreakable encryption keys by way of photon polarization, and the evoting system encrypts votes using quantum keys, providing end-to-end security. Firebase stores user information and anonymous votes securely, and Flask oversees serverside logic, including real-time quantum key generation through IBM Quantum’s cloud-based quantum processors. The incorporation of IBM Quantum’s Qiskit framework allows for real-time simulation and running of BB84, with error rates below 3% in quantum channel tests. Tamper-evident logs and decentralized verification are used in place of centralized databases for e-voting, which reduces fraud vulnerabilities. Real-world implementation shows that the system can scale, as Firebase supports 1,000+ concurrent users and IBM Quantum provides sub-second latency for key generation. This paper tackles weaknesses of traditional systems by combining quantum cryptography with contemporary full-stack technologies, offering a solid, deployable solution for electoral integrity and secure communication.
In the era of quantum computing, conventional encryption methods are becoming more vulnerable to quantum attacks and more secure communication protocols are needed. This paper describes a Quantum Secure Chat System that facilitates real-time communication between two parties through Quantum Key Distribution (QKD) using the BB84 protocol and AES-GCM encryption to protect confidentiality and integrity. The system employs QKD for key distribution and mitigates eavesdropping attempts, whereby attempted interceptions alert parties that the key cannot be trusted. In conjunction, the system employs Quantum Random Number Generation (QRNG) to mitigate the risk of non-random and biased keys. From the front end perspective, the chat system has an intuitive interface built of HTML, CSS, and JavaScript for two users to communicate in encrypted format. From the back-end, it has implemented a Django REST framework for QKD, AES encryption, and message decryption. Information about eavesdropper detection, quantum keys, cipher text, and decrypted messages is displayed to the user and aids transparency in the key exchanging and data encryption/decryption process. The system was robustly developed and tested with release candidates to establish eavesdropping detection, as well as the ability to manage encryption and decryption in an efficient manner. Furthermore, it provides evidence of a strong security capability between the combinations of QKD and AES as a solution to enable real-time messaging.
In the age of digital transformation, the integrity and security of online voting systems have become a growing concern. Traditional cryptography methods are vulnerable to advances in quantum computing, demanding the need for more secure alternatives. This paper explores the application of quantum cryptography in enhancing the security of blockchain-based voting systems, a decentralized and transparent approach to conduct elections. We introduce a novel quantum-resistant voting protocol that integrates Quantum Key Distribution (QKD) with post-quantum cryptographic algorithms, ensuring secure voter authentication, vote casting, and tallying. The methodology combines quantum encryption with blockchain's immutability to create a tamper-proof voting ledger, preventing unauthorized access and vote manipulation. It gives an analysis of potential real-world implementations, positioning a hybrid quantum-blockchain framework as a promising solution for future secure electronic voting systems.
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.
Quantum Key Distribution (QKD) represents a paradigm shift in cryptographic security, offering information-theoretic confidentiality based on fundamental principles of quantum mechanics rather than computational hardness assumptions. The emergence of advanced quantum processors with ever-increasing qubit counts has accelerated the timeline for cryptographically-relevant quantum computers, necessitating immediate migration to quantum-safe communication protocols. This paper introduces a comprehensive QKD-based network integrity mechanism implemented as a Flask-based web chatting application that provides end-to-end security with real-time attack detection and automated mitigation. The system integrates a complete BB84 protocol simulation with polarized photon transmission modeling, incorporating realistic quantum channel parameters including attenuation (0.2 dB/km), dark count probability (10⁻⁶), and detector efficiency (30%). The architecture comprises four integrated modules: Quantum Key Distribution Engine implementing the full BB84 protocol stack with adaptive basis selection and error reconciliation; Secure Chat Interface supporting multi-user rooms, private messaging, and file sharing with one-time pad encryption using quantum-generated keys refreshed at optimal intervals; Network Integrity Monitor employing statistical analysis and machine learning techniques to detect eavesdropping attempts through quantum bit error rate (QBER) analysis, timing anomalies, and photon statistics; Automated Mitigation System that quarantines detected attackers through session termination, IP blacklisting, key revocation, and emergency key regeneration. Experimental evaluation demonstrates detection rates of 99.7% for intercept-resend attacks at 24.8% QBER, 98.2% for photon number splitting attacks at 15.3% QBER, and 99.1% for man-in-the-middle attacks at 18.7% QBER. The system achieves key generation rates of 1.82 kbps over 10 km simulated fiber, with 1.8-second quarantine response time meeting stringent incident response requirements. Scalability testing confirms support for 5,000+ concurrent users with 320 ms response time, making the solution suitable for production deployment. This work represents the first production-ready integration of quantum key distribution with a complete web chat application featuring automated attack detection and mitigation, bridging the gap between theoretical quantum cryptography and practical secure communication tools.
Quantum Key Distribution (QKD) represents a paradigm shift in cryptographic security, offering information-theoretic confidentiality based on fundamental principles of quantum mechanics rather than computational hardness assumptions. The emergence of advanced quantum processors with ever-increasing qubit counts has accelerated the timeline for cryptographically-relevant quantum computers, necessitating immediate migration to quantum-safe communication protocols. This paper introduces a comprehensive QKD-based network integrity mechanism implemented as a Flask-based web chatting application that provides end-to-end security with real-time attack detection and automated mitigation. The system integrates a complete BB84 protocol simulation with polarized photon transmission modeling, incorporating realistic quantum channel parameters including attenuation (0.2 dB/km), dark count probability (10⁻⁶), and detector efficiency (30%). The architecture comprises four integrated modules: Quantum Key Distribution Engine implementing the full BB84 protocol stack with adaptive basis selection and error reconciliation; Secure Chat Interface supporting multi-user rooms, private messaging, and file sharing with one-time pad encryption using quantum-generated keys refreshed at optimal intervals; Network Integrity Monitor employing statistical analysis and machine learning techniques to detect eavesdropping attempts through quantum bit error rate (QBER) analysis, timing anomalies, and photon statistics; Automated Mitigation System that quarantines detected attackers through session termination, IP blacklisting, key revocation, and emergency key regeneration. Experimental evaluation demonstrates detection rates of 99.7% for intercept-resend attacks at 24.8% QBER, 98.2% for photon number splitting attacks at 15.3% QBER, and 99.1% for man-in-the-middle attacks at 18.7% QBER. The system achieves key generation rates of 1.82 kbps over 10 km simulated fiber, with 1.8-second quarantine response time meeting stringent incident response requirements. Scalability testing confirms support for 5,000+ concurrent users with 320 ms response time, making the solution suitable for production deployment. This work represents the first production-ready integration of quantum key distribution with a complete web chat application featuring automated attack detection and mitigation, bridging the gap between theoretical quantum cryptography and practical secure communication tools.
In the age of quantum computing, classical cryptographic techniques are under increasing threat. Quantum cryptography offers an innovative method for data protection by utilizing the principles of quantum mechanics to achieve unbreakable encryption. With the escalating volume of sensitive information stored in databases, conventional cryptographic techniques are becoming more vulnerable, particularly in light of advancements in quantum computing. This paper explores the application of Quantum Key Distribution (QKD) and quantum cryptographic techniques into database systems to bolster security. By implementing the BB84 protocol and quantum encryption, we propose a secure data communication framework that prevents eavesdropping and data tampering. The study evaluates the feasibility of integrating QKD with existing database systems, demonstrates a simulated implementation using Python, and compares its resilience to classical attacks. Results indicate significant improvement in confidentiality and key exchange security, marking a step toward quantum-resilient database systems.