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.
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.
Now securing data in the cloud has become more complicated. In cloud environments, the data security based on the concept of authentication using cryptographic techniques is being checked. In addition to traditional encryption methods, quantum cryptography is gaining popularity and uses the concepts of quantum physics for the encryption of data. The Quantum Key Distribution (QKD) that quantum cryptography brings enhanced security, as it provides resistance against many of the prevailing cyber threats. This paper introduces the Secure Quantum Key Distribution (SQKD-CDS) for cloud data security, a new simulation framework. This method encrypts user data through non-Abelian encryption (NAE) for which strong data protection is provided. The Quantum Key also provides data on cloud servers with easy access. Quantum methods are used to efficiently distribute this key among nodes. The proposed cloud simulator is used to determine the effectiveness of the proposed simulation model. The obtained results revealed that the SQKD-CDS algorithm was quite efficient in comparison to the traditional security visualization algorithm, both in terms of time complexity and computational requirements.
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 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.
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 recent development in cloud computing has changed data storage and data processing methods, nevertheless, it also created new vulnerabilities, particularly the potential risks caused by quantum computing advancements. Traditional encryption techniques that are effective at present face potential vulnerabilities due to the emergence of quantum threats. The goal of this research is to create a cloud encryption system that is impervious to quantum assaults. Quantum Key Distribution (QKD) systems, particularly the E91 protocol, combine lattice-based encryption to enhance safe key management. This research helps to create upcoming cryptographic standards that can handle both safety problems and new quantum computing hazards. The utilization of quantum mechanics improves cloud data protection as well as it offers a strong defense against new cyber threats. The results show a lot of potential for improving cloud security and laying a foundation for upcoming data encryption methods that can handle the risks, which is created by quantum computing.
As technology advances, it becomes easier to share large amounts of data over the internet. Cloud computing is one of the technologies that allows for easy data sharing over the internet. It is critical to provide security for this data when they are being shared across the internet. The security of data saved in cloud storage, as well as data transport and transmitting a key required to encrypt data between two parties, has been a source of concern for the industry, as a result of the growing use of cloud services in recent years. Collective attacks are significantly more powerful than individual strikes, according to our research. Despite the fact that additional research works were studied in the previous literature review, there are some study concerns for not correcting third-party data hacking. Therefore, this paper focuses on the design of Secured Quantum Key Distribution (SQKD) with Fuzzy logic to improve the security of the shared key. Quantum Key Distribution, Post Quantum Key Distribution, and the EPR Proto-col are technologies that increase the security of data sharing. We have incorporated the Secured Quantum Key Distribution (SQKD) with Fuzzy logic in our proposed work to improve the security of the shared key. The proposed systems include some additional characteristics in addition to the existing approaches. The proposed model uses shifting algorithms and the fuzzification procedure to assure the security of the secret key in the Fuzzification of Quantum Key approach. The experimental results states that the mean value of security losses in SFQ is 1.8306051, and the mean value of QKD is 14.6448416, with standard deviations of 1.7329 and 13.863 for SFQ and QKD, respectively.