The emergence of quantum computing threatens traditional cryptographic systems, and therefore quantum-resistant solutions are essential. This project proposes a Dual-Layer RSA Encryption Model enhanced with Merkle Trees to ensure quantum resistance and data integrity. The model integrates traditional RSA encryption with lattice-based post-quantum cryptographic primitives to protect against quantum attacks such as Shor's and Grover's algorithms. For supplementary security, Merkle Trees arrange quantum-secure hashes of ciphertext blocks of encrypted data, with the Merkle root as a non-changing anchor point for effective data verification. The model uses hybrid key management, including RSA and quantum-resistant cryptography, along with Merkle proof-based verification for effective integrity verification. One of the advantages of this approach is that it is quantum-resistant, which safeguards information against future quantum attacks while still being able to verify efficiently. It is very scalable, thus being suitable for secure data storage, financial transactions, and IoT networks. In addition, its backward compatibility with RSA-based schemes makes it easily compatible with existing encryption systems. With the use of Merkle Trees in hash-based authentication, the system optimizes performance, particularly in high-throughput environments like cloud storage and distributed ledgers. The hybrid cryptography model is designed to secure current and future threats against cyber attacks, yielding a long-term security model. With advancements in quantum computing technology, this forward-looking approach forms a solid framework for securing confidential information and conducting secure communication. By being scalable, efficient, and responsive, this model provides a quantum-proof encryption solution for industries to meet the quantum future.
The emergence of quantum computing threatens traditional cryptographic systems, and therefore quantum-resistant solutions are essential. This project proposes a Dual-Layer RSA Encryption Model enhanced with Merkle Trees to ensure quantum resistance and data integrity. The model integrates traditional RSA encryption with lattice-based post-quantum cryptographic primitives to protect against quantum attacks such as Shor's and Grover's algorithms. For supplementary security, Merkle Trees arrange quantum-secure hashes of ciphertext blocks of encrypted data, with the Merkle root as a non-changing anchor point for effective data verification. The model uses hybrid key management, including RSA and quantum-resistant cryptography, along with Merkle proof-based verification for effective integrity verification. One of the advantages of this approach is that it is quantum-resistant, which safeguards information against future quantum attacks while still being able to verify efficiently. It is very scalable, thus being suitable for secure data storage, financial transactions, and IoT networks. In addition, its backward compatibility with RSA-based schemes makes it easily compatible with existing encryption systems. With the use of Merkle Trees in hash-based authentication, the system optimizes performance, particularly in high-throughput environments like cloud storage and distributed ledgers. The hybrid cryptography model is designed to secure current and future threats against cyber attacks, yielding a long-term security model. With advancements in quantum computing technology, this forward-looking approach forms a solid framework for securing confidential information and conducting secure communication. By being scalable, efficient, and responsive, this model provides a quantum-proof encryption solution for industries to meet the quantum future.
The exponential growth of cloud computing and hybrid enterprise IT infrastructures has significantly transformed how organizations store, process, and transmit data. As reliance on distributed systems deepens, ensuring the confidentiality, integrity, and availability of sensitive information has become a paramount concern especially in the face of emerging quantum computing capabilities. Quantum computers, once fully realized, will render many current public-key cryptographic systems such as RSA, ECC, and DH obsolete due to their vulnerability to quantum algorithms like Shor’s and Grover’s. This looming threat demands a paradigm shift toward quantum-resistant cryptographic protocols that can safeguard digital assets across dynamic and heterogeneous environments. This study presents a comprehensive analysis of quantum-resistant cryptographic schemes, focusing on lattice-based, hash-based, multivariate polynomial, and code-based approaches. These protocols are critically evaluated in terms of computational efficiency, scalability, resistance to side-channel attacks, and adaptability to multi-tenant cloud architectures. Special emphasis is placed on their integration into hybrid enterprise IT ecosystems, which often comprise on-premises servers, private clouds, and public cloud services each with unique security and compliance requirements. Additionally, the research proposes a layered security model that leverages post-quantum encryption for data-at-rest, hybrid key exchange mechanisms for secure data-in-transit, and secure bootstrapping protocols for cross-domain identity verification. Through simulations and policy analysis, this work demonstrates how quantum-resilient cryptography can be effectively deployed without compromising system performance or interoperability. Ultimately, the findings aim to guide enterprises, cloud providers, and cybersecurity professionals in building forward-compatible, future-proof data protection strategies.
With the fast-paced development of quantum computing, classical cryptographic techniques are under severe security threats, prompting the need for post-quantum cryptographic mechanisms for secure data exchange in next-generation network communications. Post-quantum cryptography seeks to protect sensitive data against quantum attacks to provide long-term data confidentiality. But all current cryptographic techniques, including RSA and ECC, are susceptible to quantum algorithms like Shor's algorithm, which can factor large integers efficiently and break discrete logarithm problems, making classical cryptography useless. There is thus a pressing need for quantum attack-resistant encryption mechanisms. To meet these challenges, we introduce the Lattice-Based Cryptography with Hybrid Key Exchange (L-CHKE) framework, which combines lattice-based encryption with a hybrid key exchange mechanism. Lattice-based cryptography provides quantum resistance because it is based on hard mathematical problems such as Learning with Errors (LWE), which provides greater security and efficiency. The designed L-CHKE algorithm strengthens secure key distribution and authentication for next-generation networks, especially for applications needing strong security like financial transactions, IoT, and military communications. Experimental results verify that L-CHKE noticeably boosts computational efficiency by 98.45%, decreases key exchange latency by 42.56%, and guarantees robustness by 97.64% against quantum attacks, indicating it is an appropriate solution for post-quantum secure communication.
As quantum computing continues to evolve, inherent limitations of classical cryptographic algorithms pose significant security risks to distributed systems, particularly those that handle sensitive log information. Existing encryption schemes used in distributed log storage such as RSA, ECC, and AES are vulnerable to future quantum attacks in the form of Shor's and Grover's algorithms. While post-quantum cryptographic algorithms have been studied in broader contexts in most research works, significant research gaps exist in their application and effectiveness in distributed log systems. For the most part, most of the literature has focused either on theoretical models or centralized systems without regard to the practical complexities and security concerns of decentralized log management in heterogeneous environments. This research study aims to fill the identified gap with quantum-resilient encryption techniques specifically designed for distributed log storage architectures. The framework presented in this work combines lattice-based cryptography, hash-based signatures, and code-based encryption to provide for the confidentiality, integrity, and forward secrecy of the log data, even against quantum-capable attackers. A hybrid approach is presented that combines classical encryption with quantum-safe primitives to enable phase-by-phase migration without affecting system performance or backward compatibility. Through simulation-based analysis performed across distributed nodes, this research demonstrates that the presented schemes maintain strong security guarantees while keeping the required computational overhead within reasonable limits. The system also incorporates key rotation, auditability, and tamper evidence mechanisms to further enhance compliance with changing standards of data governance. Through the focus on the specific requirements of distributed logging, this paper introduces a workable and scalable solution to protecting system logs from the impending threat of quantum-based attacks, thereby addressing an important but insufficiently explored topic in the context of cybersecurity.
The fast development of cyber communications, multimedia distribution, remote working have promoted the demand to transmit sensitive information through secure means in both the public and the private networks. The advent of massive quantum computers is rendering traditional cryptographic algorithms like RSA and Elliptic Curve Cryptography (ECC) insecure because they can crack the classical public-key algorithms like the Shor and Grover algorithms. This brings an immediate need of hybrid cryptographic systems, which integrate classical, quantum, and post-quantum algorithms to provide confidentiality, integrity, authentication, and future security beyond the quantum threat horizon.The paper is a proposal of a Hybrid Quantum-Post-Quantum Cryptographic Framework of transmitting files safely. It starts by aggregating files, which is a process to compress several files, images, videos, and multimedia files that users have chosen into one file to minimize redundancy and ease encryption. The AES-256 encrypted file is in GCM mode and provides confidentiality and integrity of the compressed file.The dual-layer mechanism ensures key establishment security. To begin with, Quantum Key Distribution (QKD) based on the protocols of BB84/E91 allows the Sender and the Receiver to generate a Quantum Secret Key (QSK) by exchanging quantum bits in quantum channel. Constant monitoring of the error rate facilitates automatic eavesdropping detection, and guarantees the keys generation is made when the conditions are secure, as well as the safeguarding of interception and man-in-the-middle attacks.A post-quantum layer is provided to ensure long-term security against quantum cryptanalysis, which uses Kyber, a NIST-approved lattice-based Key Encapsulation Mechanism (KEM). The Receiver creates a key pair of Kyber and disseminates the public key to the Sender. By using encapsulation, the Sender gets a PQC ciphertext and a Shared Secret (SS), with decapsulation on the Receiver side giving ensure that only participants of good faith get the same secret value.The hybridization phase consists of combining the QSK of QKD and SS of Kyber with the help of HKDF-SHA256 to obtain a Final Wrap Key (FWK). AES-GCM encrypts the key of file encryption by wrapping it with FWK which allows a secure and authenticated transfer of the key. The Sender sends four messages: encrypted file, Kyber ciphertext, wrapped AES key and the initialisation vector. At Receiver end, FWK is calculated once again with the help of QSK and SS so that the original data can be decrypted with the help of AES key.The suggested framework provides a defense-in-depth solution based on the combination of quantum security, post-quantum resilience and authenticated symmetric encryption. It can be analyzed that there is a strong resistance to classical and quantum adversaries, scalability, and compatibility with the existing communication networks. This renders the model to be appropriate to secure government communication, military systems, data exchange in healthcare environments, cloud storage and financial infrastructures. Keywords— Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC), Kyber,Key Encapsulation Mechanism (KEM), HKDF-SHA256, Quantum Secret Key (QSK), GCM Mode.
The high growth rate of cloud storage companies has reshaped the digital management of data among individuals and companies. Nevertheless, the future of quantum computing spells a major danger to classical cryptographic algorithms like the RSA and the ECC which forms the backbone to the current cloud security infrastructures. In order to mitigate this new risk, this paper will present a new Post-Quantum Cryptography (PQC)-based security architecture, customized to cloud storage application. The model combines lattice-based key encapsulation models and hash-based authentication models to provide long-term data confidentiality, integrity, and non-repudiation. The basic uniqueness of the offered model is its hybrid cryptographic implementation, which will have quantum-resilient key exchange, and a hardened hash-based signature verification as a single workflow of cloud security. This assimilation improves resistance to quantum-based attacks and retains viable computational efficiency. The evaluation of performance shows that the framework can be used in large-scale and distributed cloud systems since it has a well-balanced trade-off between high quantum resilience and controllable processing overheads. The suggested PQC scheme will create moderate overhead and high future-proof security, in comparison to the traditional crypto-systems. The paper portrays the strategic value of shifting towards quantum-resistant encryption systems to guarantee long-term data security in the post-quantum future.
Another threat is the development of large quantum computers, which have a high likelihood of breaking the high popular security protocols because it can use both Shor and Grover algorithms. In order to fix this looming threat, quantum-resistant cryptographic systems, otherwise known as post-quantum cryptography (PQC), are being formulated to protect cybersecurity systems of the future. The current paper presents the state of the art in designing, realizing, and testing the security of robust quantum-resistant algorithms, paying attention to lattice-based, code-based, multivariate polynomial and hash-based cryptography. We discuss their resistance to classical and quantum attackers, distributed system scalability properties, and their deployment in practice (secure communications, blockchain, cloud computing infrastructures). Also, we study a hybrid cryptographic model that integrates the classical efficient cryptography scheme and a quantum-resilient cryptographic scheme to achieve a backward-compatible solution and simultaneously improving the forward security properties. With the experimental findings, it is evident that performance with reasonable computational footprint of the proposed framework succeeds to install amplified security fortitude which successfully harbours prolific cybersecurity systems of the future.