Secure keys data distribution based user-storage-transit server authentication process model using mathematical post-quantum cryptography methodology

Santosh Kumar Henge; Gitanjali Jayaraman; M Sreedevi; R Rajakumar; Mamoon Rashid; Sultan S. Alshamrani; Mrim M. Alnfiai; Ahmed Saeed AlGhamdi; Santosh Kumar Henge; Gitanjali Jayaraman; M Sreedevi; R Rajakumar; Mamoon Rashid; Sultan S. Alshamrani; Mrim M. Alnfiai; Ahmed Saeed AlGhamdi

doi:10.3934/nhm.2023057

Networks and Heterogeneous Media

2023, Volume 18, Issue 3: 1313-1334. doi: 10.3934/nhm.2023057

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Research article

Secure keys data distribution based user-storage-transit server authentication process model using mathematical post-quantum cryptography methodology

1.
Department of Computer Applications, Directorate of Online Education, Manipal University Jaipur, Rajasthan, India
2.
Department of Information Technology, Vellore Institute of Technology, 632014, Vellore, India
3.
Department of Computer Science and Technology, Madanapalle Institute of Technology and Science, 517325 Madanapalle, India
4.
Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, 411048, India
5.
Department of Information Technology, College of Computers and Information Technology, Taif University, Taif PO Box 11099, Taif, 21944, Saudi Arabia
6.
Department of Computer Engineering, College of Computer and Information Technology, Taif University, PO Box. 11099, Taif 21994, Saudi Arabia

Received: 30 January 2023 Revised: 06 April 2023 Accepted: 10 April 2023 Published: 05 May 2023

The central remote servers are essential for storing and processing data for cloud computing evaluation. However, traditional systems need to improve their ability to provide technical data security solutions. Many data security challenges and complexities await technical solutions in today's fast-growing technology. These complexities will not be resolved by combining all secure encryption techniques. Quantum computing efficiently evolves composite algorithms, allowing for natural advances in cyber security, forensics, artificial intelligence, and machine learning-based complex systems. It also demonstrates solutions to many challenging problems in cloud computing security. This study proposes a user-storage-transit-server authentication process model based on secure keys data distribution and mathematical post-quantum cryptography methodology. The post-quantum cryptography mathematical algorithm is used in this study to involve the quantum computing-based distribution of security keys. It provides security scenarios and technical options for securing data in transit, storage, user, and server modes. Post-quantum cryptography has defined and included the mathematical algorithm in generating the distributed security key and the data in transit, on-storage, and on-editing. It has involved reversible computations on many different numbers by super positioning the qubits to provide quantum services and other product-based cloud-online access used to process the end-user's artificial intelligence-based hardware service components. This study will help researchers and industry experts prepare specific scenarios for synchronizing data with medicine, finance, engineering, and banking cloud servers. The proposed methodology is implemented with single-tenant, multi-tenant, and cloud-tenant-level servers and a database server. This model is designed for four enterprises with 245 users, and it employs integration parity rules that are implemented using salting techniques. The experimental scenario considers the plain text size ranging from 24 to 8248 for analyzing secure key data distribution, key generation, encryption, and decryption time variations. The key generation and encryption time variations are 2.3233 ms to 8.7277 ms at quantum-level 1 and 0.0355 ms to 1.8491 ms at quantum-level 2. The key generation and decryption time variations are 2.1533 ms to 19.4799 ms at quantum-level 1 and 0.0525 ms to 3.3513 ms at quantum-level 2.
- secure keys,
- quantum cryptography,
- artificial intelligence,
- homomorphic cryptosystem,
- public key,
- quantum digital signature
Citation: Santosh Kumar Henge, Gitanjali Jayaraman, M Sreedevi, R Rajakumar, Mamoon Rashid, Sultan S. Alshamrani, Mrim M. Alnfiai, Ahmed Saeed AlGhamdi. Secure keys data distribution based user-storage-transit server authentication process model using mathematical post-quantum cryptography methodology[J]. Networks and Heterogeneous Media, 2023, 18(3): 1313-1334. doi: 10.3934/nhm.2023057

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Abstract

The central remote servers are essential for storing and processing data for cloud computing evaluation. However, traditional systems need to improve their ability to provide technical data security solutions. Many data security challenges and complexities await technical solutions in today's fast-growing technology. These complexities will not be resolved by combining all secure encryption techniques. Quantum computing efficiently evolves composite algorithms, allowing for natural advances in cyber security, forensics, artificial intelligence, and machine learning-based complex systems. It also demonstrates solutions to many challenging problems in cloud computing security. This study proposes a user-storage-transit-server authentication process model based on secure keys data distribution and mathematical post-quantum cryptography methodology. The post-quantum cryptography mathematical algorithm is used in this study to involve the quantum computing-based distribution of security keys. It provides security scenarios and technical options for securing data in transit, storage, user, and server modes. Post-quantum cryptography has defined and included the mathematical algorithm in generating the distributed security key and the data in transit, on-storage, and on-editing. It has involved reversible computations on many different numbers by super positioning the qubits to provide quantum services and other product-based cloud-online access used to process the end-user's artificial intelligence-based hardware service components. This study will help researchers and industry experts prepare specific scenarios for synchronizing data with medicine, finance, engineering, and banking cloud servers. The proposed methodology is implemented with single-tenant, multi-tenant, and cloud-tenant-level servers and a database server. This model is designed for four enterprises with 245 users, and it employs integration parity rules that are implemented using salting techniques. The experimental scenario considers the plain text size ranging from 24 to 8248 for analyzing secure key data distribution, key generation, encryption, and decryption time variations. The key generation and encryption time variations are 2.3233 ms to 8.7277 ms at quantum-level 1 and 0.0355 ms to 1.8491 ms at quantum-level 2. The key generation and decryption time variations are 2.1533 ms to 19.4799 ms at quantum-level 1 and 0.0525 ms to 3.3513 ms at quantum-level 2.

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