Cloud Data Security Audit Report Techniques Using Bat Inspired Algorithm: A Review

  • Onuja, A. M., Adebayo, O. S, Olalere, M., Aliyu, H. O.
Keywords: Audit Report, Bat Algorithm, Cloud computing, Data, Security, Smart Environment.

Abstract

Cloud computing has become an interesting attraction for Information and Communication Technology (ICT) practitioners. It is helping to reduce the cost of procuring computing devices and services. To this end, security attacks have been rising with cloud service providers always having to under-report the prevalence in order not to scare away potential cloud service subscribers. In this review, eighty (80) papers were acquired from reputable academic publications using Google Scholar as the search engine. The eighteen (18) carefully selected from the pool of 80, for review, have a total of seventy-four (74) versions on the internet. Furthermore, the authors agree with the research publications, that there is need to bring on board the client into security breach mitigation strategies, being developed to strengthen cloud data security. Findings from this review, reveals that research interest in cloud data security audit has increased from four (4) papers between 2011 and 2016, to thirteen (13) papers between 2017 and 2022. These existing frameworks and techniques are still being tested to improve performance. This research, therefore, proposed a cloud data security audit report technique using Bat inspired algorithm (CDSART-BA) to improve cloud data security.

Published
2024-02-07
How to Cite
Onuja, A. M., Adebayo, O. S, Olalere, M., Aliyu, H. O. (2024). Cloud Data Security Audit Report Techniques Using Bat Inspired Algorithm: A Review. AFRICAN JOURNAL OF SCIENCE, TECHNOLOGY AND ENGINEERING (AJSTE) , 4(2), 65-80. Retrieved from http://journal.kyu.ac.ke/index.php/library1/article/view/140