REVIEW AND ANALYSIS OF RESEARCH ON THE ISSUES OF INFORMATION SECURITY OF CLOUD INFRASTRUCTURES
DOI:
https://doi.org/10.32689/maup.it.2024.1.5Keywords:
cloud computing; informational security; machine learning; cyber attacks, anomaliesAbstract
Cloud computing is an access to network resources, such as data storage and computing power, on demand, without direct control by users. Currently, cloud computing includes both public and private data centers that provide customers with a single platform over the Internet. Peripheral computing (edge computing) is a strategy aimed at bringing computing and information storage closer to end users, reducing response time and optimizing the bandwidth of cloud services. Mobile cloud computing uses distributed computing to deliver applications to mobile devices such as phones and tablets. Numerous studies show that cloud computing and mobile cloud computing face information security (IS) challenges, threats, and vulnerabilities for customers, and one of the promising methods to combat these threats is the use of machine learning (ML) techniques. In this article, an analysis of IS threats and problems is carried out, as well as a review of the solutions proposed by various authors for the IS provision of cloud computing and cloud services. First of all, research based on the application of MN algorithms to ensure the security of cloud computing and cloud services is considered.
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