Nowadays, data transfer has been vast online and on social media. Hence data security in the various cloud environments has been enabled to send and receive data. While transferring the data, some issues in the cloud environment are the lack of connectivity, control, and the insecurity of the password and the data. To handle this problem, data security and the internet connection have to be enabled for the cloud environments. The method of homomorphic encryption and the transport layer security protocol have been enabled for the analysis. The homomorphic encryption method converts the data to the ciphertext for making the text in the original format. Then the transport layer security protocol is used to authenticate the data, and the data integrity of the communication can be executed. The proposed system performs better than current protocols like Dynamic Level Based Integrity Checking Protocol, TLS protocol, and Lightweight Cryptosystem, making it a potential option for jobs involving safe and effective cloud information processing. Overall, the proposed Two-tier Homomorphic Encryption system exhibits improved execution time, security strength, resource utilization, communication overhead, and user satisfaction. It addresses issues such as connectivity gaps, control deficiencies, and password and data insecurity, making it an effective method for boosting cloud security in quantum cloud computing environments.
Nowadays, data transfer has been vast online and on social media. Hence data security in the various cloud environments has been enabled to send and receive data. While transferring the data, some issues in the cloud environment are the lack of connectivity, control, and the insecurity of the password and the data. To handle this problem, data security and the internet connection have to be enabled for the cloud environments. The method of homomorphic encryption and the transport layer security protocol have been enabled for the analysis. The homomorphic encryption method converts the data to the ciphertext for making the text in the original format. Then the transport layer security protocol is used to authenticate the data, and the data integrity of the communication can be executed. The proposed system performs better than current protocols like Dynamic Level Based Integrity Checking Protocol, TLS protocol, and Lightweight Cryptosystem, making it a potential option for jobs involving safe and effective cloud information processing. Overall, the proposed Two-tier Homomorphic Encryption system exhibits improved execution time, security strength, resource utilization, communication overhead, and user satisfaction. It addresses issues such as connectivity gaps, control deficiencies, and password and data insecurity, making it an effective method for boosting cloud security in quantum cloud computing environments.
Nowadays, data transfer has been vast online and on social media. Hence data security in the various cloud environments has been enabled to send and receive data. While transferring the data, some issues in the cloud environment are the lack of connectivity, control, and the insecurity of the password and the data. To handle this problem, data security and the internet connection have to be enabled for the cloud environments. The method of homomorphic encryption and the transport layer security protocol have been enabled for the analysis. The homomorphic encryption method converts the data to the ciphertext for making the text in the original format. Then the transport layer security protocol is used to authenticate the data, and the data integrity of the communication can be executed. The proposed system performs better than current protocols like Dynamic Level Based Integrity Checking Protocol, TLS protocol, and Lightweight Cryptosystem, making it a potential option for jobs involving safe and effective cloud information processing. Overall, the proposed Two-tier Homomorphic Encryption system exhibits improved execution time, security strength, resource utilization, communication overhead, and user satisfaction. It addresses issues such as connectivity gaps, control deficiencies, and password and data insecurity, making it an effective method for boosting cloud security in quantum cloud computing environments.
The rise of quantum computing/technology potentially introduces significant security challenges to cloud computing, necessitating quantum-resistant encryption strategies as well as protection schemes and methods for cloud infrastructures offering quantum computing time and services (i.e. quantum clouds). This research explores various options for securing quantum clouds and ensuring privacy, especially focussing on the integration of homomorphic encryption (HE) into Eclipse Qrisp, a high-level quantum computing framework, to enhance the security of quantum cloud platforms. The study addresses the technical feasibility of integrating HE with Qrisp, evaluates performance trade-offs, and assesses the potential impact on future quantum cloud architectures. The successful implementation and Qrisp integration of three post-quantum cryptographic (PQC) algorithms demonstrates the feasibility of integrating HE with quantum computing frameworks. The findings indicate that while the Quantum One-Time Pad (QOTP) offers simplicity and low overhead, other algorithms like Chen and Gentry-Sahai-Waters (GSW) present performance trade-offs in terms of runtime and memory consumption. The study results in an overall set of recommendations for securing quantum clouds, e.g. implementing HE at data storage and processing levels, developing Quantum Key Distribution (QKD), and enforcing stringent access control and authentication mechanisms as well as participating in PQC standardization efforts.
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.
Cloud computing has made storing and accessing data easier but keeping it secure is a big challenge nowadays. Traditional methods of ensuring data may not be strong enough in the future when powerful quantum computers become available. To solve this problem, this study uses quantum cryptography to protect data in the cloud environment. Quantum Key Distribution (QKD) creates secure keys by sending information using quantum particles like photons. Specifically, we use the BB84 protocol, a simple and reliable way to make secure keys that cannot be stolen without detection. To protect the data, we use the Quantum One Time pad (QOTP) for encryption and decryption, ensuring the data stays completely private. This study shows how these Quantum methods can be applied in cloud systems to provide a strong defense against hackers, even if they have access to quantum computers. The combination of QKD, BB84, and QOTP creates a safe and reliable way to keep data secure when it is stored or shared in the cloud. Using quantum cryptography, this paper provides a way to ensure data security now and in the future, making cloud computing safer for everyone to store their data securely and safely.
In today’s digital landscape, ensuring the security of data transmitted and stored in the cloud is paramount. Traditional encryption methods face challenges in scalability and susceptibility to quantum threats. This abstract presents a novel approach to cloud data security leveraging lightweight chaos encryption and quantum key distribution (QKD). The proposed mechanism combines the dynamic properties of chaos encryption, which offers high entropy and resistance to conventional attacks, with the quantum-level security provided by QKD. By integrating chaos-based encryption techniques with QKD protocols, our system achieves enhanced security for data communications in cloud environments. Furthermore, the lightweight nature of chaos encryption ensures efficient utilization of computational resources, making it suitable for cloud-based applications. This abstract outlines the theoretical framework and operational principles of the proposed security mechanism, highlighting its potential to address the evolving challenges of data security in cloud computing.
The modern computing enterprises rely more on hybrid and -cloud environments, but their reliance on classical cryptography makes the environment vulnerable to quantum threats. The common RSA/ECC are now easily compromised using Shor’s algorithm while Grover’s algorithm reduces the effectiveness of AES security to almost half, making the distributed systems susceptible to potential security attacks. This paper brings out the recent trends in research on multi-cloud security strategies, the impact of quantum algorithms, the deployment framework of post quantum cryptography (PQC), Quantum key Distribution (QKD), simulation toolkits for quantum cloud environment. We proposed a Hybrid Post-Quantum Encryption Framework (HyPQEF), a layered quantum-safe framework by integrating PQC and Fully Homomorphic Encryption (FHE) with Zero-Trust architecture. The proposed work focused on the interoperability of the framework in the distributed cloud environment, performance trade-offs, by offering security hybrid cloud infrastructure against cryptographically relevant quantum threats.