Quantum computers and research on quantum computers are increasing due to the efficiency and speed required for critical applications. This scenario also kindles the vitality of data protection needed against threats from quantum computers. Research in post-quantum threats is very minimal so far, but it is much needed to protect the enormous data stored in the cloud for healthcare, governmental, or any crucial data. This research work presents an advanced hybrid double encryption approach for cloud data security based on Post-Quantum Cryptography (PQC) to ensure the restriction of unauthorized access. The suggested approach combines the benefits of the NTRU encryption and AES encryption algorithms and works in hybrid mode, offering strong security while resolving issues with real-time performance and cost-efficiency. A streamlined key management system is set together to improve real-time processing, significantly reducing encryption and decryption delay times. Moreover, NTRU Encrypt dynamic parameter selection, which adapts security parameters based on data sensitivity, maintains accurate information and security. In addition to addressing real-time performance and data security, an innovative development in this method is known as Quantum-Adaptive Stream Flow Encryption (QASFE), which enables secure data sharing and collaborative working within a quantum-resistant framework. This innovative feature enhances data accessibility while maintaining the highest level of security. In the era of post-quantum cryptography, our multifactor authentication technique, integrating double encryption and QASFE, is a proactive and flexible solution for securing cloud data, and protecting data security and privacy against emerging threats.
Quantum computers and research on quantum computers are increasing due to the efficiency and speed required for critical applications. This scenario also kindles the vitality of data protection needed against threats from quantum computers. Research in post-quantum threats is very minimal so far, but it is much needed to protect the enormous data stored in the cloud for healthcare, governmental, or any crucial data. This research work presents an advanced hybrid double encryption approach for cloud data security based on Post-Quantum Cryptography (PQC) to ensure the restriction of unauthorized access. The suggested approach combines the benefits of the NTRU encryption and AES encryption algorithms and works in hybrid mode, offering strong security while resolving issues with real-time performance and cost-efficiency. A streamlined key management system is set together to improve real-time processing, significantly reducing encryption and decryption delay times. Moreover, NTRU Encrypt dynamic parameter selection, which adapts security parameters based on data sensitivity, maintains accurate information and security. In addition to addressing real-time performance and data security, an innovative development in this method is known as Quantum-Adaptive Stream Flow Encryption (QASFE), which enables secure data sharing and collaborative working within a quantum-resistant framework. This innovative feature enhances data accessibility while maintaining the highest level of security. In the era of post-quantum cryptography, our multifactor authentication technique, integrating double encryption and QASFE, is a proactive and flexible solution for securing cloud data, and protecting data security and privacy against emerging threats.
The QCECS Framework is ready to prevent new types of threats in the cloud environment given the increasing threat potential of quantum computing. RSA and ECC conventional encryption techniques cannot protect data security from quantum penetration and, therefore, the need for quantum security models. This incorporates the QKD for the impenetrable key exchange, post-quantum cryptography for data scrambling, blockchain for a more transparent way of managing keys, and the use of Artificial intelligence for real-time intrusion detection especially for traditional as well as quantum threats. At the same time, the proposed framework forms a symmetrical hybrid encryption approach with both quantum-resistant and classical interference to deliver the best outcomes while maintaining security integrity. The evidence derived from the study indicates that the framework protects the data through cryptographic mechanisms such as lattice-based cryptography and QKD and key management is secured through blockchain. It is crucial to mention, that the application of AI improves the detection of new threats in process and real time. This framework provides higher encryption strength, clarity, and quantum security compared to other methods. Even though various obstacles are resolved in the framework, several barriers remain in terms of hardware access, cloud adaptability, and internal enhancement. Yet, due to its novel approach to post-quantum cybersecurity, it has become a potential dominating solution for future cloud security.
With the current increase in the rate of quantum computing, traditional cryptographic algorithms face a significant risk of compromise, as they are based on mathematical problems that quantum algorithms can efficiently solve. One solution to this challenge has come up in the form of post-quantum cryptography (PQC). By having a hybrid encrypted solution that combines the two different encryption algorithms, NTRU quantum-resistant and fast AES symmetric-key, with a well-integrated combination presented in this paper, we aim to usher in secure and safe data in the post-quantum era. This mixed regime is the most advanced approach that combines classical and quantum encryption. We compare the performance of the system with that of standalone AES, NTRU, and RSA-based systems, examining aspects such as encryption, decryption, key generation, and key size. Benchmarks indicate that the hybrid system has an overhead, but its performance is passable; encryption times are 60ms and 14000ms for 1 KB and 5000 KB of data, respectively, compared to 12ms for 1 KB and 50ms for 5000 KB by AES and NTRU. The same can be said about decryption, with the hybrid system being more efficient than NTRU but still slower than AES. The NTRU key generation times were depicted as unfavorable compared to those of AES, and this margin was seen to increase as the key sizes of NTRU were varied. Compared to executing the same algorithm on a classical computer, the hybrid system is relatively computationally expensive but offers strong quantum resistance. A hybrid encryption system based on the AES-NTRU is a solution to the quantum computing threat to data security. Later projects will be based around various efforts to optimize the NTRU system, also including hardware acceleration opportunities and an increase in the system utilization in real-life environments.
The speedy evolution of cyber threats is a serious threat to the protection of sensitive health information, with increasing threats from quantum computing. Conventional security does not keep up with evolving threats, and innovative solutions are needed. This paper introduces a secure hybrid cloud architecture that combines post-quantum cryptography (PQC), advanced hashing, and quantum key distribution (QKD) to authenticate further and protect data in healthcare systems. The primary mission is to generate an attack-resistant authentication process, robust data integrity assurance, and a functional system for key management with extensibility and regulation compliance. The considered infrastructure utilizes PQC-based robust encryption, robust hashing to authenticate data integrity, and QKD for providing secure key exchange augmented with multi-factor authentication. Implementing quantum-resistant protocols properly secures healthcare data in public and private cloud centers. Performance testing reveals a 99.6% overall success rate, 99.8% key exchange success, and 99.9% detection accuracy with QKD. PQC integration offers robust encryption, and advanced hashing techniques offer tamper-evident data integrity. The results establish the strong security, scalability, and quantum age cyber threat tolerance of the approach as a secure solution for guarding healthcare applications and delivering confidential, integrity-guaranteeing data protection.
Recent developments in quantum-enhanced security have demonstrated encouraging promise for enhancing cloud computing environments' security. Utilizing quantum physics, in particular Quantum Key Distribution (QKD), provides a new method for generating cryptographic keys and improves cloud data transport security. The present study offers a thorough investigation of the integration of QKD with conventional encryption techniques, including Advanced Encryption Standard (AES), in order to tackle the dynamic cyber security scenario in cloud computing. The approach entails combining AES for encryption and decryption procedures and establishing a QKD layer within the cloud architecture to produce true quantum keys utilizing Quantum in Cloud technology. Data transmission security is greatly improved by the smooth integration of AES with QKD-generated keys, guaranteeing confidentiality, integrity, and authenticity. In addition, strong key management practices are put in place to handle cryptographic keys safely at every stage of their lifespan, reducing the possibility of unwanted access or interception. The suggested approach successfully addresses the difficulties presented by cyber threats by offering a robust and flexible means of enhancing security in cloud-based systems. Using both traditional and quantum encryption methods, this strategy provides a strong barrier against cyber-attacks, data leaks, and other security flaws. After 70 simulation rounds, the suggested strategy, which is implemented using the QKD-AES framework in Python software, achieved a data access rate of 820 MB/s. In addition to providing an accurate and quantitative assessment of the performance, this also exhibits a high data access rate attained under simulated conditions. At 15 milliseconds, the key generation time was achieved with efficiency, guaranteeing the quick creation of secure cryptographic keys in cloud environments. Overall, there is a lot of potential in using quantum-enhanced security techniques to protect sensitive data and guarantee the integrity of cloud computing infrastructures.
The rise of cloud computing has transformed data storage and processing but introduced new vulnerabilities, especially with the impending threat of quantum computing. Traditional cryptographic methods, though currently effective, are at risk of being compromised by quantum attacks. This research aims to develop a quantum-resistant security framework for cloud environments, combining lattice-based cryptography with Quantum Key Distribution (QKD) protocols, particularly the E91 protocol, for secure key management. The framework also incorporates quantum authentication protocols to enhance user identity verification, protecting against unauthorized access and tampering. The proposed solution balances robust security with practical implementation, ensuring scalability and efficiency in real-world cloud environments. Performance evaluations indicate an encryption time of approximately 30 milliseconds, outperforming existing methods such as RSA and DES. This research contributes to the development of future-proof cryptographic standards, addressing both current security challenges and emerging quantum computing threats. By leveraging quantum mechanics, the framework strengthens cloud-based data protection, providing a resilient solution against evolving cyber risks. The results hold significant promise for advancing cloud security, laying the groundwork for next-generation encryption techniques that can withstand the threats posed by quantum computing.
As the digital landscape evolves, the reliance on cloud computing for critical infrastructure across various sectors highlights the need for robust security mechanisms to protect sensitive data from emerging cyber threats, particularly those posed by quantum computing. Traditional cryptographic systems, while currently effective, are vulnerable to quantum attacks, necessitating the development of quantum-resistant solutions. This research introduces the Quantum-Resilient Cryptographic Framework (QRCF), a hybrid, adaptive cryptographic framework designed to safeguard cloud environments against both classical and quantum threats. The QRCF integrates lattice-based Kyber and code-based McEliece algorithms, offering a comprehensive and scalable solution for secure data storage, management, and transmission. Key contributions include the development of a dynamic security management layer that adapts to real-time threat analysis, ensuring continuous protection against evolving threats, and the implementation of robust post-quantum cryptographic methods that maintain high performance and low computational overhead. Quantitative analysis shows that the QRCF maintains a high throughput of 420 MB/s for encryption and 400 MB/s for decryption under normal operations, with latency as low as 3.2 ms and 3.6 ms, respectively. The framework exhibited strong resistance to various attack models, with success rates of 1.0% for brute-force attacks, 1.875% for MITM attacks, 0.833% for side-channel attacks, and 1.6% for replay attacks. Against quantum threats, the QRCF showed no vulnerability to Shor’s Algorithm and a minimal success rate of 0.667% for Grover’s Algorithm. The framework’s design ensures seamless integration with existing cloud infrastructures, providing practical migration strategies to quantum-safe cryptography without disrupting operational workflows. By addressing key research gaps in quantum-safe cloud security, this study contributes significantly to the field, offering a robust, scalable, and efficient cryptographic solution that enhances the security and operational performance of cloud environments in the face of advancing quantum computational capabilities.