Abstract— The advancement of quantum computing presents significant risks to conventional cryptographic systems that secure modern communication networks. This paper proposes an Adaptive Quantum–Classical Trust Communication System (AQCTCS), a hybrid secure messaging framework designed to enhance resilience against both classical and quantum threats. The system integrates three security layers: AES-256 for classical encryption, Post-Quantum Cryptography (PQC) for quantum-resistant protection, and a BB84-based Quantum Key Distribution (QKD) simulation for high-risk scenarios. A Trust Engine continuously evaluates security indicators, including anomaly detection parameters and Quantum Bit Error Rate (QBER), to compute a dynamic trust score. Based on this score, an Adaptive Security Controller automatically selects the appropriate encryption mode, balancing performance and security. The platform is implemented as a web application using React for the frontend, FastAPI for backend services, and Qiskit for QKD simulation. AQCTCS demonstrates an adaptive, scalable, and future-ready communication architecture suitable for post-quantum environments. Keywords— Quantum Key Distribution, Post-Quantum Cryptography, AES-256, Trust Engine, BB84 Protocol, Adaptive Encryption, Secure Messaging, QBER.
Abstract— The advancement of quantum computing presents significant risks to conventional cryptographic systems that secure modern communication networks. This paper proposes an Adaptive Quantum–Classical Trust Communication System (AQCTCS), a hybrid secure messaging framework designed to enhance resilience against both classical and quantum threats. The system integrates three security layers: AES-256 for classical encryption, Post-Quantum Cryptography (PQC) for quantum-resistant protection, and a BB84-based Quantum Key Distribution (QKD) simulation for high-risk scenarios. A Trust Engine continuously evaluates security indicators, including anomaly detection parameters and Quantum Bit Error Rate (QBER), to compute a dynamic trust score. Based on this score, an Adaptive Security Controller automatically selects the appropriate encryption mode, balancing performance and security. The platform is implemented as a web application using React for the frontend, FastAPI for backend services, and Qiskit for QKD simulation. AQCTCS demonstrates an adaptive, scalable, and future-ready communication architecture suitable for post-quantum environments. Keywords— Quantum Key Distribution, Post-Quantum Cryptography, AES-256, Trust Engine, BB84 Protocol, Adaptive Encryption, Secure Messaging, QBER.
The rapid advancement of quantum computing poses a serious threat to traditional cryptographic systems such as RSA and Elliptic Curve Cryptography (ECC), which rely on computational difficulty for security. Quantum algorithms like Shor’s and Grover’s have the potential to break or weaken these methods, putting modern communication systems at risk. To address this challenge, this work presents a quantum-safe com-munication framework that combines the BB84 Quantum Key Distribution (QKD) protocol with Post-Quantum Cryptography (PQC) techniques, aiming to ensure secure data exchange in the presence of quantum-capable adversaries. In this system, the BB84 protocol is simulated to enable secure key exchange between two parties over a virtual quantum channel. The generated key is refined through processes such as basis matching, error correction, and privacy amplification using SHA-256 to ensure reliability and secrecy. For secur-ing communication, One-Time Pad (OTP) encryption is used alongside HMAC-SHA3-256 to provide both confidentiality and message integrity. Additionally, file encryption is handled using the XChaCha20-Poly1305 algorithm, selected for its efficiency and strong protection against potential vulnerabilities like nonce reuse. To further enhance security, the framework integrates a hybrid key management approach using the Kyber-512 Key Encapsulation Mechanism (KEM) combined with a Key Deriva-tion Function (KDF), merging classical and quantum-resistant techniques. Experimental results demonstrate the effectiveness of the system, achieving a Quantum Bit Error Rate (QBER) of 2.5% and successful performance in both message and file en-cryption. Overall, this work contributes toward the development of practical and resilient communication systems designed for the emerging quantum era.
With the rise of quantum computing, traditional encryption methods like RSA and ECC are increasingly vulnerable to quantum attacks. This paper presents Qryptic, a secure messaging platform designed to withstand such threats through the integration of Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC). Using the BB84 protocol for QKD and Crystals-Dilithium for digital signatures, the system ensures quantum-resilient key exchanges and authentication. Additionally, AES-256 provides efficient end-to-end encryption, with session keys derived securely from the distributed quantum keys, enabling forward secrecy.A unique aspect of Qryptic is its QR-based QKD handshake for secure user connection, alongside a custom Qryptic Phrase Code (QPC) that replaces traditional usernames for added security. The system architecture includes real-time key refresh mechanisms, cryptographic session isolation, and attack resistance to both classical and quantum adversaries.Through a hybrid cryptographic model and rigorous testing against threats like Grover’s and Shor’s attacks, Qryptic demonstrates strong performance, usability, and future-proof security. This paper details the system design, implementation, and evaluation, contributing to the development of scalable, post-quantum secure communication systems for the coming quantum era.
The emergence of quantum computing poses a significant threat to classical cryptographic systems, particularly those relying on mathematical hardness assumptions for key exchange. While symmetric algorithms such as the Advanced Encryption Standard (AES) remain efficient and widely deployed, their long-term security ultimately depends on the secrecy of keys. In this paper, we present a hybrid framework that integrates quantum key distribution (QKD) with AES and DES to enhance key security without altering cipher internals. Using the BB84 protocol as the quantum key generator, we implement a simulation-based system in Qiskit and evaluate it against classical pseudo-random key generation.Our methodology covers five phases: establishing AES/DES baselines, generating quantum random keys, implementing BB84 with basis reconciliation and error detection, integrating quantum keys with AES/DES, and benchmarking across varying key sizes and file sizes. Results demonstrate that AES encryption throughput remains stable (around 250–370 MB/s) regardless of key source, while QKD introduces measurable latency in key generation (around 40–110 seconds for 128–256 bits). Importantly, adversarial interference is reliably detected, with 97.3% accuracy in eavesdropper identification.The findings confirm that while classical systems excel in speed and scalability, QKD offers unmatched, physics-backed security assurances. Our study highlights the practicality of hybrid quantum-classical encryption, providing a foundation for secure communication in the post-quantum era.
Digital communication development creates an increasing threat to data security because emerging quantum computing technologies easily overcome traditional methods of encryption. A security system that integrates traditional encrypting with quantum computing methods shows promise for enhancing safety of networks mechanisms. The Hybrid Quantum Classical–Advanced Encryption System (HQC–AES) integrates the safe symmetrical functionality of the Advanced Encryption Standard (AES) with Quantum Key Distribution (QKD) procedures, specifically BB84 and E91, to ensure quantum resiliency. A secure key exchange together with real-time eavesdropper detection becomes possible through this combined approach, which maintains data confidentiality at a high level. A synthesis of post-quantum cryptography methods, such as Kyber and Falcon, safeguards traditional ways of communicating alongside quantum structures that lack comparability. The HQC–AES model provides solutions to three key cryptographic problems including secure key handling and distribution as well as encrypted transmission and long-term protection. Quantum mechanics enables protection enhancement for both conventional and quantum-based attacks by integrating it with advanced classical encryption methods. Theoretically, simulators and models show that the hybrid model maintains the technical agility of networks via several networked connections while simultaneously securing the reliability of data. The architecture delivers scalable security features to protect high-security cloud applications and financial systems and Internet of Things (IoT) resources by ensuring paramount secure communication capabilities. In safeguarding the transfer of data across several network circumstances, the suggested HQC–AES approach attained an overall accuracy of 98.7%. The fact that it is resistant to both conventional and quantum-based assaults and manages to keep data secure and intact is reflected in its excellent accuracy.
The rapid expansion of the Internet of Things (IoT) has introduced unprecedented cybersecurity challenges, as traditional cryptographic methods struggle to provide both efficiency and quantum resistance in resource-constrained environments. This research introduces Adaptive Quantum Cryptography (AQC), a novel security framework that integrates Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC), Quantum Random Number Generators (QRNGs), and AI-driven dynamic adaptation to safeguard IoT networks against evolving cyber threats. Unlike classical encryption techniques such as RSA and ECC, which are vulnerable to quantum attacks, AQC leverages quantum mechanical principles—such as superposition, entanglement, and the no-cloning theorem—to ensure provably secure key exchange and data encryption. The proposed AQC system dynamically adjusts cryptographic protocols based on real-time network conditions, computational resources, and threat intelligence, optimizing security without imposing excessive overhead. Experimental evaluations demonstrate that AQC achieves a 70% improvement in key exchange efficiency, a 50% reduction in computational load, and a 95% resilience rate against quantum attacks compared to conventional encryption methods. Additionally, the integration of QRNGs enhances cryptographic key entropy, while AI-driven anomaly detection enables proactive threat mitigation. This framework is particularly suited for next-generation IoT applications, including smart grids, autonomous vehicles, and industrial automation, where security, scalability, and energy efficiency are critical. By combining quantum-resistant algorithms with adaptive security mechanisms, AQC provides forward secrecy, resistance to quantum adversaries, and robust authentication, ensuring long-term protection for IoT ecosystems in the post-quantum era. The findings underscore AQC’s potential as a foundational security architecture for future quantum-safe IoT networks.
The rapid advancement of quantum computing poses a critical threat to conventional cryptographic systems such as RSA and Elliptic Curve Cryptography (ECC). To address this challenge, two major paradigms have emerged: Quantum Key Distribution (QKD), which leverages quantum mechanics for theoretically unbreakable key exchange, and Post-Quantum Cryptography (PQC), which relies on mathematically hard problems resilient to quantum attacks. Current research demonstrates the potential of integrating. QKD with lattice-based PQC to achieve hybrid quantum resilience; however, most existing works remain theoretical or infrastructure-centric, lacking accessible and interactive implementations. This paper presents the design and implementation of a web-based QKD simulation platform featuring a real-time security scorecard and an automatic PQC fallback mechanism using CRYSTALS-Kyber. Built on the BB84 protocol, the simulator models quantum communication between Alice, Bob, and Eve under various channel conditions and computes key performance metrics such as Quantum Bit Error Rate (QBER), Secret Key Rate (SKR), and efficiency, and dynamically switches to Kyber when QKD reliability degrades. Unlike prior studies, the proposed system emphasizes interactivity, visualization, and hybrid resilience, providing a practical tool for education, research, and industry experimentation. The resulting platform bridges the gap between theoretical hybrid cryptography and real-world deployment, advancing the broader adoption of quantum-safe communication systems.