Cloud Data Security Audit Report Techniques Using Bat Inspired Algorithm (CDSART-BA): A Review

Abstract

Cloud computing has become an interesting attraction for computing and information technology practitioners. It is helping to reduce 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 seventeen (17) 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 the 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 techniques using Bat inspired algorithm (CDSART-BA) to improve cloud data security