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A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

Muhammad Usman Sana1,*, Zhanli Li1, Tayybah Kiren2, Hannan Bin Liaqat3, Shahid Naseem3, Atif Saeed4

1 College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, Shaanxi, 710054, China
2 Department of Computer Science (RCET Campus), University of Engineering and Technology, Lahore, 39161, Pakistan
3 Department of Information Sciences, Division of Science & Technology, University of Education, Lahore, 54700, Pakistan
4 Department of Computer Science, COMSATS University, Islamabad, Lahore, 54700, Pakistan

* Corresponding Author: Muhammad Usman Sana. Email:

Computers, Materials & Continua 2023, 75(2), 2741-2757.


Cloud computing is a technology that provides secure storage space for the customer’s massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algorithms are being deployed. In cloud computation, data processing, storage, and transmission can be done through laptops and mobile devices. Data Storing in cloud facilities is expanding each day and data is the most significant asset of clients. The important concern with the transmission of information to the cloud is security because there is no perceivability of the client’s data. They have to be dependent on cloud service providers for assurance of the platform’s security. Data security and privacy issues reduce the progression of cloud computing and add complexity. Nowadays; most of the data that is stored on cloud servers is in the form of images and photographs, which is a very confidential form of data that requires secured transmission. In this research work, a public key cryptosystem is being implemented to store, retrieve and transmit information in cloud computation through a modified Rivest-Shamir-Adleman (RSA) algorithm for the encryption and decryption of data. The implementation of a modified RSA algorithm results guaranteed the security of data in the cloud environment. To enhance the user data security level, a neural network is used for user authentication and recognition. Moreover; the proposed technique develops the performance of detection as a loss function of the bounding box. The Faster Region-Based Convolutional Neural Network (Faster R-CNN) gets trained on images to identify authorized users with an accuracy of 99.9% on training.


Cite This Article

M. U. Sana, Z. Li, T. Kiren, H. B. Liaqat, S. Naseem et al., "A secure method for data storage and transmission in sustainable cloud computing," Computers, Materials & Continua, vol. 75, no.2, pp. 2741–2757, 2023.

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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