Ensuring privacy and confidentiality of cloud data: A comparative analysis of diverse cryptographic solutions based on run time trend

Abstract

The cloud is becoming a hub for sensitive data as technology develops, making it increasingly vulnerable, especially as more people get access. Data should be protected and secured since a larger number of individuals utilize the cloud for a variety of purposes. Confidentiality and privacy of data is attained through the use of cryptographic techniques. While each cryptographic method completes the same objective, they all employ different amounts of CPU, memory, throughput, encryption, and decryption times. It is necessary to contrast the various possibilities in order to choose the optimal cryptographic algorithm. An integrated data size of 5n*102 (KB (∈ 1,2,4,10,20,40) is evaluated in this article. Performance metrics including run time, memory use, and throughput time were used in the comparison. To determine the effectiveness of each cryptographic technique, the data sizes were run fifteen (15) times, and the mean simulation results were then reported. In terms of run time trend, NCS is superior to the other algorithms according to Friedman’s test and Bonferroni’s Post Hoc test.

Securing cloud data using secret key 4 optimization algorithm (SK4OA) with a non-linearity run time trend

“…This again defeats the notion that Chacha20 uses less memory during execution [ 45 ]. From the experimental results, SK 4 OA could be considered as a lightweight algorithm that could be better employed in the cloud to attain high security as it uses less loops and has lower run times [ 46 ]. Also, SK4OA could be used in environment, where less memory is needed such as ubiquitous computing.…”

Ethical integrity in doctoral research: A focus on classroom remediation

“…A key component of research ethics is protecting participants' anonymity and confidentiality since people are more willing to divulge sensitive and private information when given that assurance [13]. The researcher must ensure the confidentiality of participant data to avoid any possible injury or discomfort resulting from its exposure.…”

“…Maintaining ethical standards requires protecting the participants' anonymity and privacy [13]. The research will closely follow data protection standards to guarantee that all information is kept private and used only for the study.…”