The arrival of quantum computing poses a huge threat to conventional public key cryptography used in blockchain systems such as Bitcoin. To address this challenge, we proposes and evaluates a quantum resistant sidechain framework that integrates post quantum digital signature schemes and quantum key distribution (QKD) protocols with the Bitcoin mainchain. Using a Python simulation environment, the performance of multiple signature algorithms. ECDSA as a baseline measurement, Falcon, CRYSTALS-Dilithium, and SPHINCS+ were analyzed in combination with quantum communication protocols BB84, E91, and SARG04. Experimental results show that ECDSA remains the fastest baseline scheme but lacks quantum resistance, while SPHINCS+ provides the highest security with an expected overhead of 93.5 %. Among quantum protocols, BB84 achieved the best overall efficiency across transaction sizes. The optimal integration pairs were BB84 and CRYSTALS-Dilithium combination for speed, security balance and SPHINCS+ and E91 for maximum quantum resilience. These findings demonstrate the practical feasibility of deploying post quantum cryptographic components in Bitcoin compatible sidechains, paving the way for future blockchain networks that remain secure in the post quantum era.
The arrival of quantum computing poses a huge threat to conventional public key cryptography used in blockchain systems such as Bitcoin. To address this challenge, we proposes and evaluates a quantum resistant sidechain framework that integrates post quantum digital signature schemes and quantum key distribution (QKD) protocols with the Bitcoin mainchain. Using a Python simulation environment, the performance of multiple signature algorithms. ECDSA as a baseline measurement, Falcon, CRYSTALS-Dilithium, and SPHINCS+ were analyzed in combination with quantum communication protocols BB84, E91, and SARG04. Experimental results show that ECDSA remains the fastest baseline scheme but lacks quantum resistance, while SPHINCS+ provides the highest security with an expected overhead of 93.5 %. Among quantum protocols, BB84 achieved the best overall efficiency across transaction sizes. The optimal integration pairs were BB84 and CRYSTALS-Dilithium combination for speed, security balance and SPHINCS+ and E91 for maximum quantum resilience. These findings demonstrate the practical feasibility of deploying post quantum cryptographic components in Bitcoin compatible sidechains, paving the way for future blockchain networks that remain secure in the post quantum era.
The advent of quantum computing threatens the cryptographic security of traditional blockchain systems, potentially rendering current encryption techniques obsolete. This paper explores quantum-resistant blockchain protocols that leverage post-quantum cryptographic algorithms to ensure secure transactions. We analyze various quantum-safe cryptographic methods, such as lattice-based, hash-based, and multivariate polynomial cryptography, evaluating their feasibility for blockchain applications. Through comparative analysis, we discuss their computational efficiency and security guarantees. Our findings suggest that integrating quantum-resistant cryptographic techniques into blockchain frameworks is essential for future-proofing decentralized systems. This paper explores the integration of quantum-resistant cryptographic algorithms within blockchain technology. The proposed approach utilizes CRYSTALS-Dilithium for digital signatures, ensuring secure transaction verification in a post-quantum era. While Kyber is a robust key exchange mechanism, it is not suitable for signing transactions. The implementation is tested on standard hardware, demonstrating feasibility without requiring specialized quantum computing infrastructure.
The exponential advancement of quantum computing poses unprecedented threats to conventional cryptographic systems employed in banking infrastructure. This paper presents a comprehensive quantum-enhanced cryptographic framework that integrates post-quantum algorithms with distributed ledger technologies to establish resilient financial security systems. Through systematic analysis of lattice-based cryptography, hash-based signatures, and multivariate cryptographic schemes, this research demonstrates significant improvements in computational security while maintaining operational efficiency. The proposed framework achieves 99.7% security resilience against quantum attacks while reducing transaction processing overhead by 23% compared to traditional RSA-based systems. Experimental validation across simulated banking environments reveals enhanced performance metrics in key generation, digital signatures, and secure communication protocols. The integration of quantum-resistant algorithms with blockchain-based consensus mechanisms provides a robust foundation for future-proof banking security architectures.
The rise of quantum computing presents a significant threat to current cryptographic protocols, including SSL/TLS, which are fundamental to secure communication over the internet. This paper provides a comprehensive review of quantum-resistant SSL/TLS implementations to address the looming risks posed by quantum attacks. Using the PRISMA methodology, 766 articles were screened, with 27 meeting the inclusion criteria for in-depth analysis. The study evaluates the design, testing, and validation processes of quantum-resistant algorithms such as SPHINCS+, CRYSTALS-Kyber, and Dilithium, emphasising their integration into TLS 1.3. Key findings highlight advancements in algorithmic choices, protocol modifications, and security assurances while addressing challenges like computational overhead and compatibility issues. By offering a thorough assessment of current developments, this paper aims to guide future research and practical deployment of quantum-resistant cryptography to safeguard digital communications in the post-quantum era
The advent of quantum computing poses a significant threat to classical cryptographic systems, necessitating the development of quantum-resistant alternatives. This thesis explores a hybrid key exchange framework combining Quantum Key Distribution (QKD) with Post-Quantum Cryptography (PQC) to secure classical post-processing steps such as information reconciliation and privacy amplification. Specifically, CRYSTALS-Kyber is used for key encapsulation, while CRYSTALS-Dilithium and SPHINCS+ provide digital signatures for authentication. While the mathematical security foundations of these algorithms are assumed, their integration is evaluated through performance benchmarking and system-level analysis. The results show that incorporating PQC-based authentication into QKD post-processing significantly improves resilience against quantum adversaries, while introducing only a reasonable computational and bandwidth overhead. This work contributes to the development of robust hybrid cryptographic systems capable of with standing both classical and quantum-era threats.
The rapid advancement of quantum computing presents a fundamental challenge to modern cryptographic security, particularly in the domain of hash functions that ensure data integrity, authentication, and blockchain security. Traditional crypto graphic hash functions such as SHA-256, SHA-3, and BLAKE2 rely on computational hardness assumptions that become obsolete in the presence of large-scale quantum computers. Shor’s algorithm can efficiently break RSA and ECC-based cryptosys tems, while Grover’s algorithm reduces the security of traditional hash functions by square root complexity, significantly weakening their preimage and collision resistance. This quantum threat necessitates the development of post-quantum secure hashing techniques that remain resilient against both classical and quantum adversaries. This paper proposes Quantum Hashing, a novel cryptographic framework that integrates quantum entanglement, lattice-based cryptography, and hybrid quantum classical hashing to construct post-quantum secure hash functions. We introduce a formal model for Quantum Collision Resistance (QCR) and provide entropy-based ran domness enhancement to ensure unpredictable hash outputs. Unlike classical hashing approaches, our framework leverages the hardness of lattice problems (e.g., Shortest Vector Problem, Learning with Errors) to withstand quantum attacks while incorpo rating Quantum Key Distribution (QKD) mechanisms to enhance entropy and key management. Furthermore, we evaluate the security of Quantum Hashing under various attack models, comparing its resistance against Grover’s search and collision attacks. We benchmark its performance against NIST Post-Quantum Cryptography (PQC) final ists, including CRYSTALS-DILITHIUM, SPHINCS+, and Falcon, demonstrating that our approach offers superior resilience while maintaining computational feasibility. Additionally, we present an implementation of Quantum Hashing using Qiskit, show casing its practical applicability in quantum circuits and quantum-secure blockchain architectures. Our findings highlight that Quantum Hashing provides a scalable, entropy-efficient, and post-quantum resilient cryptographic primitive suitable for next-generation cryptographic applications. This work paves the way for secure post-quantum digital signatures, blockchain consensus mechanisms, and zero-knowledge proof systems that require tamper-resistant hashing in a quantum computing era.
The rapid advancement of quantum computing poses a critical threat to classical cryptographic schemes that secure modern distributed systems. As the deployment of distributed infrastructures—including blockchains, cloud-native applications, and edge networks—continues to grow, there is an urgent need to transition towards quantum-resistant security mechanisms. This paper provides a comprehensive examination of post-quantum cryptographic (PQC) algorithms and their applicability in distributed system architectures. We analyze the impact of quantum threats on key components of distributed systems such as communication protocols, identity management, data integrity, and consensus mechanisms. Furthermore, we evaluate current NIST-standardized PQC algorithms in terms of computational efficiency, scalability, and integration overhead within distributed environments. Challenges in key management, performance trade-offs, and implementation considerations are discussed. Finally, we propose best practices and future directions for secure, quantum-resilient distributed systems.