Enhanced cloud security model using QKDP (ECSM-QKDP) for advanced data security over cloud

Sundar, K.; Sasikumar, S.; Jayakumar, C.

doi:10.1007/s11128-022-03452-6

Cited by 14 publications

(22 citation statements)

References 13 publications

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“…It reveals the correlation between ambiguity and randomness. Hyperentropy He: it is the uncertainty measure of entropy, namely the entropy of entropy, which reflects the cohesion of the uncertainty of all points representing the language value in the number domain space, that is, the cohesion of cloud droplets [10].…”

Section: Basic Conceptsmentioning

confidence: 99%

Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation

Zhu

2022

International Transactions on Electrical Energy Systems

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In order to solve the problem that the traditional genetic algorithm has a slow search speed and is easy to fall into the local optimal solution, a mathematical modeling method of an improved genetic algorithm in random power fluctuation is proposed. Drawing on the idea of a genetic algorithm (GA) and using the randomness and stability trend of cloud droplets of the normal cloud model, the author proposes a new genetic algorithm, cloud genetic algorithm (CGA). CGA is implemented by the Y-condition cloud generator of the normal cloud model to realize the cross operation, and the basic cloud generator realizes the mutation operation. Finally, the power function optimization experiment and the IIR digital filter optimization design are carried out, and the standard GA, NQGA, CAGA, and LARES algorithms are carried out compared. The experimental results show that the IIR digital filter designed by CGA has the smallest maximum ripple (Ap) in the passband, which is 0.342, and the largest minimum attenuation (As) in the stopband, which is 34.27. It can be observed that the overall performance is better. The validity of the algorithm is proved, and it has a certain reference and application value.

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Section: Basic Conceptsmentioning

confidence: 99%

Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation

Zhu

2022

International Transactions on Electrical Energy Systems

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“…Sundar [20] presented an enhanced cloud security model based on QKD protocol (ECSM-QKDP) to provide cloud storage security. This research assumed the communication scenario among three objects such as data owner, cloud server and Legitimate User (LU) whereas the quantum keys are exchanged in two steps.…”

Section: Related Workmentioning

confidence: 99%

“…In the proposed modified key sifting scheme (MKSS), the TPM [21] is used to perform the error correction TWIA process. The quantum channel exchange is performed similar to the conventional BB84 [20], but the modification is accomplished in public channel exchange. The ECSM-QKDP [20] is performed using pseudo random number, but the proposed MKSS synchronizes the random number in cloud storage.…”

Section: Error Correction Using Tpm For Mkssmentioning

confidence: 99%

“…The quantum channel exchange is performed similar to the conventional BB84 [20], but the modification is accomplished in public channel exchange. The ECSM-QKDP [20] is performed using pseudo random number, but the proposed MKSS synchronizes the random number in cloud storage. This synchronization of random numbers using MKSS is used to minimize key distribution time than the conventional BB84 key sifting of ECSM-QKDP [20].…”

Section: Error Correction Using Tpm For Mkssmentioning

confidence: 99%

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Effective Quantum Key Distribution Using Modified Key Sifting Scheme for Cloud Storage Security

2023

IJIES

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Cloud storage has gained extensive attention due to its low cost, global scalability, and improved agility. Data privacy is an important issue in cloud storage because breaches of personal information or business secrets are occurred by malicious hackers or unauthorized cloud operators. To address this issue, a Modified Key Sifting Scheme (MKSS) is proposed for developing an effective Quantum Key Distribution (QKD) with Two-Way Identity Authentication (TWIA) to provide security in the cloud storage. The Tree Parity Machine (TPM) is used for proposing a MKSS which used to minimize the key distribution time based on the synchronization. This MKSS-QKDTWIA considers four different objects such as data user, data owner, server and data storage in a communication scenario. The performance of the MKSS-QKDTWIA is analyzed by means of key computation time, processing time, encryption & decryption time, and memory utilization. Existing research such as Modified Random Fibonacci Cryptographic (MRFC), Software Stack-QKD (SS-QKD) and Enhanced Cloud Security Model based on QKD Protocol (ECSM-QKDP) are used to evaluate the performance of MKSS-QKDTWIA. The key computation time of MKSS-QKDTWIA for 50 attribute sets in each key is 16.7s which is less when compared to the MRFC, SS-QKD and ECSM-QKDP.

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“…A feedback-based Index Name Server scheme is presented in which monitors various indexing and based on the feedback the method performs load balancing. An e cient data deduplication scheme is presented in [7], which reduce the storage overhead. A temporal approach is presented in which works based on hash values towards encryption.…”

Section: Related Workmentioning

confidence: 99%

Real Time Efficient Block Level Dual Mode Data Deduplication Towards Mitigating Side Channel Attack in Cloud Storage

Jayashree¹,

K.E²

2022

Preprint

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The task of data deduplication and privacy preservation in cloud storage is well studied. There exist numerous approaches to enforce such deduplication and user privacy in cloud storage. However, the methods suffer to achieve expected performance in various metrics. To handle this issue, an efficient Real Time Block Level Dual Mode Data Deduplication (RBDD) scheme is presented in this article. The approach not just concentrates on data deduplication but also focuses on restricting the malicious adversaries at the block level. The method first enforces access restriction in block level based on the key metrics as well as access metrics measured in terms of Access Behavioral Measure (ABM). Also, the method maintains Page Matrix to store the schema of different pages which has information about the blocks, keys and encryption schemes. The dual mode approach encrypts the data encrypted by the user by its own system key which has been dynamically updated and modified at different sessions to handle different threats. The deduplication is performed by verifying the data in block level by computing Block Level Relational Measure (BLRM). Overall, the method improves the performance of data deduplication, public auditing and privacy preservation. Also, the method improves the performance in access restriction towards QOS development.

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Enhanced cloud security model using QKDP (ECSM-QKDP) for advanced data security over cloud

Cited by 14 publications

References 13 publications

Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation

Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation

Effective Quantum Key Distribution Using Modified Key Sifting Scheme for Cloud Storage Security

Real Time Efficient Block Level Dual Mode Data Deduplication Towards Mitigating Side Channel Attack in Cloud Storage

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