Data security challenges in cloud computing have grown as a fundamental issue because of rising cyber threats during this period. The proposed model QC-CSM relies on the quantum key distribution process (QKDP) and ABE to use quantum cryptography in developing a cloud security framework that enhances security measures. The model provides key distribution together with authentication and encryption security through the application of the quantum no-cloning theorem alongside quantum mechanics principles. The experimental results conducted through CloudSim and iQuantum generate data that confirms the model exhibits efficient performance across storage, encryption, and processing speed. The key generation process takes 35% less time than conventional multi-authority attribute-based encryption (MAABE) and pairing-based provable multi-copy data possession (PB-PMDP) encryption methods. Additionally, the encryption and decryption operations operate at optimized speeds. The reduction of storage overhead (SO) amounts to 20% which leads to improved memory performance. The model demonstrates effective detection abilities to identify quantum key distribution (QKD) network eavesdropping which prevents secure network breaches. The experimental data demonstrate that QC-CSM delivers both a secure platform and a scalable and efficient cloud security infrastructure. The chapter shows that quantum cryptography enables cloud system protection when it incorporates QKD components with contemporary encryption technologies.
Data security challenges in cloud computing have grown as a fundamental issue because of rising cyber threats during this period. The proposed model QC-CSM relies on the quantum key distribution process (QKDP) and ABE to use quantum cryptography in developing a cloud security framework that enhances security measures. The model provides key distribution together with authentication and encryption security through the application of the quantum no-cloning theorem alongside quantum mechanics principles. The experimental results conducted through CloudSim and iQuantum generate data that confirms the model exhibits efficient performance across storage, encryption, and processing speed. The key generation process takes 35% less time than conventional multi-authority attribute-based encryption (MAABE) and pairing-based provable multi-copy data possession (PB-PMDP) encryption methods. Additionally, the encryption and decryption operations operate at optimized speeds. The reduction of storage overhead (SO) amounts to 20% which leads to improved memory performance. The model demonstrates effective detection abilities to identify quantum key distribution (QKD) network eavesdropping which prevents secure network breaches. The experimental data demonstrate that QC-CSM delivers both a secure platform and a scalable and efficient cloud security infrastructure. The chapter shows that quantum cryptography enables cloud system protection when it incorporates QKD components with contemporary encryption technologies.
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.
This research develops SQKD-CDS as a Secure Quantum Key Distribution for Cloud Data Security model which strengthens cloud information protection. NAE and QKD technologies work together in the model to establish secure key-sharing and encryption systems. QKD transmits secret keys by quantum principles through secure channels to stop eavesdropping because of Heisenberg's uncertainty principle. The encryption method applies non-commutative cryptographic structures which create a higher level of security protection. A secret key created through the Diffie-Hellman algorithm allows cloud administration personnel to authenticate with their users during mutual verification. The CloudSim tool proves that SQKD-CDS improves safety levels while shortening encryption and decryption processes along with enhancing storage capacity utilization. SQKD-CDS demonstrates superior performance through its lower QBER and faster key group times which reach 24.7 ms when implementing 50 files. The model provides protection against denial-of-service occurrences as well as man-in-the-middle breaches. SQKD-CDS reducing memory consumption to 135.5 KB while showing improved security characteristics to be considered as a quantum cryptographic solution for storing cloud data safely.
The widespread cryptographic methods RSA and AES have become more susceptible to quantum-based attacks because researchers developed quantum algorithms such as Shor's and Grover's. QKD chromosomes from quantum mechanics grant authorized parties the ability to exchange cryptographic keys securely alongside built-in eavesdropping detection functionality. In the proposed method a Quantum Key Distribution (QKD) is used to integrate into cloud environments to secure data against quantum threats which have become crucial security concerns today. A new security framework for combining QKD with standard cloud utilities strengthens both access privacy and verify data integrity and ensure authentication of user information. The system framework consists of key generation from quantum elements followed by distribution through quantum channels to support secure communication protocols for Software as a Service (SaaS) and Platform as a Service (PaaS) as well as Infrastructure as a Service (IaaS). The key performance evaluation of the QKD system includes measurements of key generation rate together with Quantum Bit Error Rate (QBER) and eavesdropping detection accuracy rates. The analysis against traditional cryptographic systems proves that QKD stands superior in quantum attack resilience. The proposed system demonstrates its efficiency and robustness through simulation outcomes as well as visual representations. The presented work demonstrates both the revolutionary capability of quantum technology for cloud security along with a deployable system architecture for future systems implementation. The research work advances the creation of cloud infrastructure systems which combine high security resilience to protect against future cyber threats.
With the growing adoption of cloud computing, ensuring data security in cloud environments has become a critical concern for business organizations. Quantum cryptography utilizes the principles of quantum mechanics to guarantee secure communication, as any attempt to eavesdrop will change the quantum states, alerting the parties of the intrusion. This paper proposes a multi-qubit Quantum Key Distribution (QKD) ciphertext-policy attribute-based encryption (CP-ABE) for cloud security. The proposed multi-qubit QKD model for secure cloud data using quantum cryptography involves the use of a quantum key distribution protocol to generate a secure key for encryption and decryption. This protocol involves sending quantum signals through a quantum channel to distribute a secret key between the sender and the receiver. The key is then used for the encryption and decryption of data using the CP-ABE technique. This technique allows the encryption and decryption of data based on attributes rather than an explicit key exchange, making it particularly suitable for cloud environments where data is stored and processed by multiple users with varying levels of access. The positive results from the proposed simulation model suggest the potential of quantum cryptography in securing cloud data.
With the exponential growth of cloud data and storage space, cloud security has become one of the interesting research areas of cloud computing servers. Attribute-based encryption is a public key encryption algorithm that allows cloud users to secure their sensitive information in the public cloud servers. Quantum key distribution (QKD) is required to improve the security of communication systems. Quantum cryptographic scheme completely depends on quantum mechanics. The major objective of quantum key distribution is to generate a key that takes part in encryption. Traditional attribute-based encryption models are insecure and possible of key distribution attacks using man-in-the-middle attacks. Also, as the size of the input data increases, traditional ABE models failed to compute efficient secret key due to computational time and network overhead. To overcome these issues, a novel chaotic integrity and quantum key distribution (QKD)-based cipher text policy ABE model is implemented in cloud environment. Experimental results proved that the proposed model has high computation speed, storage overhead and secured key distribution compared to traditional CP-ABE, KPABE and QKD-ABE models.
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.