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Hill Matrix and Radix-64 Bit Algorithm to Preserve Data Confidentiality

Ali Arshad1,*, Muhammad Nadeem2, Saman Riaz1, Syeda Wajiha Zahra2, Ashit Kumar Dutta3, Zaid Alzaid4, Rana Alabdan5, Badr Almutairi6, Sultan Almotairi4,7

1 Department of Computer Science, National University of Technology, Islamabad, Pakistan
2 Department of Computing, Abasyn University, Islamabad, Pakistan
3 Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Riyadh, 13713, Saudi Arabia
4 Department of Computer Science, Faculty of Computer and Information Systems, Islamic university of Madinah, Medinah, 42351, Saudi Arabia
5 Department of Information Systems, Faculty of Computer and Information Sciences College, Majmaah University, 11952, Saudi Arabia
6 Department of Information Technology, College of Computer Sciences and Information Technology College, Majmaah University, Al-Majmaah 11952, Saudi Arabia
7 Department of Natural and Applied Sciences, Faculty of Community College, Majmaah University, Majmaah, 11952, Saudi Arabia

* Corresponding Author: Ali Arshad. Email: email

Computers, Materials & Continua 2023, 75(2), 3065-3089. https://doi.org/10.32604/cmc.2023.035695

Abstract

There are many cloud data security techniques and algorithms available that can be used to detect attacks on cloud data, but these techniques and algorithms cannot be used to protect data from an attacker. Cloud cryptography is the best way to transmit data in a secure and reliable format. Various researchers have developed various mechanisms to transfer data securely, which can convert data from readable to unreadable, but these algorithms are not sufficient to provide complete data security. Each algorithm has some data security issues. If some effective data protection techniques are used, the attacker will not be able to decipher the encrypted data, and even if the attacker tries to tamper with the data, the attacker will not have access to the original data. In this paper, various data security techniques are developed, which can be used to protect the data from attackers completely. First, a customized American Standard Code for Information Interchange (ASCII) table is developed. The value of each Index is defined in a customized ASCII table. When an attacker tries to decrypt the data, the attacker always tries to apply the predefined ASCII table on the Ciphertext, which in a way, can be helpful for the attacker to decrypt the data. After that, a radix 64-bit encryption mechanism is used, with the help of which the number of cipher data is doubled from the original data. When the number of cipher values is double the original data, the attacker tries to decrypt each value. Instead of getting the original data, the attacker gets such data that has no relation to the original data. After that, a Hill Matrix algorithm is created, with the help of which a key is generated that is used in the exact plain text for which it is created, and this Key cannot be used in any other plain text. The boundaries of each Hill text work up to that text. The techniques used in this paper are compared with those used in various papers and discussed that how far the current algorithm is better than all other algorithms. Then, the Kasiski test is used to verify the validity of the proposed algorithm and found that, if the proposed algorithm is used for data encryption, so an attacker cannot break the proposed algorithm security using any technique or algorithm.

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Cite This Article

APA Style
Arshad, A., Nadeem, M., Riaz, S., Zahra, S.W., Dutta, A.K. et al. (2023). Hill matrix and radix-64 bit algorithm to preserve data confidentiality. Computers, Materials & Continua, 75(2), 3065-3089. https://doi.org/10.32604/cmc.2023.035695
Vancouver Style
Arshad A, Nadeem M, Riaz S, Zahra SW, Dutta AK, Alzaid Z, et al. Hill matrix and radix-64 bit algorithm to preserve data confidentiality. Comput Mater Contin. 2023;75(2):3065-3089 https://doi.org/10.32604/cmc.2023.035695
IEEE Style
A. Arshad et al., "Hill Matrix and Radix-64 Bit Algorithm to Preserve Data Confidentiality," Comput. Mater. Contin., vol. 75, no. 2, pp. 3065-3089. 2023. https://doi.org/10.32604/cmc.2023.035695



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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