Quantum Key Distribution and Cryptography Mechanisms for Cloud Data Security

Thangapandiyan, M.; Anand, P. M. Rubesh; Sankaran, K. Sakthidasan

doi:10.1109/iccsp.2018.8524298

Cited by 10 publications

(2 citation statements)

References 15 publications

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“…To protect the sensitive data relevant to human genomes and health throughout its lifetime, a storage system based on QKD has been presented in [511], which has exceptional storage longevity. As a further application of QKD for offering both storage and access security concerning personal health records in a cloud environment has been investigated in [512]. In 2020, Toshiba and ToMMo reported on the successful demonstration of real-time transmission of genome sequence data secured by QKD [513], validating the practical applications of QKD not only in the fields of genomic research and but also in genomic medicine.…”

Section: Application Areasmentioning

confidence: 99%

The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet

Cao

Zhao

Qin

et al. 2022

IEEE Commun. Surv. Tutorials

208

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Section: Application Areasmentioning

confidence: 99%

The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet

Cao

Zhao

Qin

et al. 2022

IEEE Commun. Surv. Tutorials

208

View full text Add to dashboard Cite

“…Initially, ensured by the rules of quantum technicalities, it is not possible to duplicate the quantum bits during broadcast 14,15 . Subsequently, computing efficiency do not assist an hacker as the key created by means of QKD procedure is absolutely secured 16,17 . Further, property of QKD permits to communicate parties to identify if there is a hacker noticing the transmission of data.…”

Section: Introductionmentioning

confidence: 99%

Novel quantum key distribution and attribute based encryption for cloud data security

Verma

Kumar

2023

Concurrency and Computation

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SummaryImprovement of privacy and security in data centers is challenging with proficient safety key managing. So as to resolve this issue, data centers require proficient quantum cryptographic techniques with authentication methods that are suitable to improve the privacy and security with lesser intricacy. In addition, quantum cryptography (QC) offers maximal security with lesser complication, which raises the security strength and storing capability of big data. This work intends to introduce a QC oriented data security model in cloud via electing the optimal private key. Here, attribute based encryption (ABE) is performed for ensuring better data transmission among the nodes in cloud. For key generation in ABE, improved QKD is adopted in this work. Depending upon this, the decryption and encryption is done. Moreover, for optimal secret key selection in ABE, self‐modified Aquila optimization (SM‐AO) scheme is deployed. Further, analysis is done depending upon varied metrics.

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Biometric Identification Using Deep Learning for Advance Cloud Security

Siroya

Mandot

2021

Deep Learning Approaches to Cloud Security

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Quantum Key Distribution and Cryptography Mechanisms for Cloud Data Security

Cited by 10 publications

References 15 publications

The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet

The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet

Novel quantum key distribution and attribute based encryption for cloud data security

Biometric Identification Using Deep Learning for Advance Cloud Security

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