Efficient quantum cryptography technique for key distribution

Singamaneni, Kranthi Kumar; Naidu, P. Sanyasi; Kumar, Pasupuleti Venkata Siva

doi:10.3166/jesa.51.283-293

Cited by 6 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the case of the two sides, the biometric trials do not match up, therefore, the validation procedure failed and the user was not possible to decipher the ciphertext. Using the users' biometric info as input to the proposed algorithm, we generate a hash value as output for integrity which will be used in the process of the dynamic random key generation [6][7][8][9][10], encipherment, and decipherment process. Utilizing users' biometric information as input to the proposed algorithm, in this work, we generate a hash value as output for integrity, which will be used in the process of dynamic random key generation, the encipherment process, and the decipherment process.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

Singamaneni

Juneja²,

Abd‐Elnaby

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

Topics such as computational sources and cloud-based transmission and security of big data have turned out to be a major new domain of exploration due to the exponential evolution of cloud-based data and grid facilities. Various categories of cloud services have been utilized more and more widely across a variety of fields like military, army systems, medical databases, and more, in order to manage data storage and resource calculations. Attribute-based encipherment (ABE) is one of the more efficient algorithms that leads to better consignment and safety of information located within such cloud-based storage amenities. Many outmoded ABE practices are useful for smaller datasets to produce fixed-size cryptograms with restricted computational properties, in which their characteristics are measured as evidence and stagnant standards used to generate the key, encipherment, and decipherment means alike. To surmount the existing problems with such limited methods, in this work, a dynamic nonlinear poly randomized quantum hash system is applied to enhance the safety of cloud-based information. In the proposed work, users’ attributes are guaranteed with the help of a dynamic nonlinear poly randomized equation to initialize the chaotic key, encipherment, and decipherment. In this standard, structured and unstructured big data from clinical datasets are utilized as inputs. Real-time simulated outcomes demonstrate that the stated standard has superior exactness, achieving over 90% accuracy with respect to bit change and over 95% accuracy with respect to dynamic key generation, encipherment time, and decipherment time compared to existing models from the field and literature. Experimental results are demonstrated that the proposed cloud security standard has a good efficiency in terms of key generation, encoding, and decoding process than the conventional methods in a cloud computing environment.

show abstract

Section: Introductionmentioning

confidence: 99%

An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

Singamaneni

Juneja²,

Abd‐Elnaby

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…The CP-ABE & QKD Algorithm provides privacy and security over the different applications such as cloud, IoT, Ect. [4][5][6][7]. Eavesdropping will be the process of easily monitoring any classic private channel without the knowledge of the sender or receiver.…”

Section: Classical Vs Quantummentioning

confidence: 99%

Beyond Binary: The Capabilities of Classical and Quantum Computing for Securing Data Transmission

Prasad Paruchuri,

Veerapaneni,

Rames

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

In the present times, the demand for sophisticated encryption methods has escalated, especially for securing data transmission in vulnerable environments. These methods leverage diverse algorithms to fortify the integrity of communication channels. Quantum mechanics plays a pivotal role in two specific areas: quantum key distribution and property-based cryptography, both of which contribute to establishing secure communication protocols. This study focuses on conducting a comparative evaluation of classical and quantum cryptography, employing various cryptography algorithms. The objective is to ascertain the optimal algorithm within each realm classical and quantum cryptography for ensuring robust security.

show abstract

“…Ref. [33] launched a novel user-secure confidentiality-based method for cloud environments. Together privacy and security are counted as the primary objective to enhance the effectiveness of cloud platforms.…”

Section: Drawbacks Of Conventional Attribute Encipherment Approachesmentioning

confidence: 99%

An Efficient Hybrid QHCP-ABE Model to Improve Cloud Data Integrity and Confidentiality

Singamaneni

Nauman

Juneja³

et al. 2022

Electronics

View full text Add to dashboard Cite

Cloud computational service is one of the renowned services utilized by employees, employers, and organizations collaboratively. It is accountable for data management and processing through virtual machines and is independent of end users’ system configurations. The usage of cloud systems is very simple and easy to organize. They can easily be integrated into various storages of the cloud and incorporated into almost all available software tools such as Hadoop, Informatica, DataStage, and OBIEE for the purpose of Extraction-Transform-Load (ETL), data processing, data reporting, and other related computations. Because of this low-cost-based cloud computational service model, cloud users can utilize the software and services, the implementation environment, storage, and other on-demand resources with a pay-per-use model. Cloud contributors across this world move all these cloud-based apps, software, and large volumes of data in the form of files and databases into enormous data centers. However, the main challenge is that cloud users cannot have direct control over the data stored at these data centers. They do not even know the integrity, confidentiality, level of security, and privacy of their sensitive data. This exceptional cloud property creates several different security disputes and challenges. To address these security challenges, we propose a novel Quantum Hash-centric Cipher Policy-Attribute-based Encipherment (QH-CPABE) framework to improve the security and privacy of the cloud user’s sensitive data. In our proposed model, we used both structured and unstructured big cloud clinical data as input so that the simulated experimental results conclude that the proposal has precise, resulting in approximately 92% correctness of bit hash change and approximately 96% correctness of chaotic dynamic key production, enciphered and deciphered time as compared with conventional standards from the literature.

show abstract

Efficient quantum cryptography technique for key distribution

Cited by 6 publications

References 0 publications

An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

Beyond Binary: The Capabilities of Classical and Quantum Computing for Securing Data Transmission

An Efficient Hybrid QHCP-ABE Model to Improve Cloud Data Integrity and Confidentiality

Contact Info

Product

Resources

About