Abstract
The use and acceptance of cloud computing are growing quickly. Numerous businesses are making investments in this area, either for their own needs or to offer services to others. The rise of the cloud has led to a number of security issues for both consumers and businesses. Machine learning is one method of cloud security (ML). ML approaches have been applied in a variety of ways to stop or identify online threats and security holes. We present a Systematic Literature Review (SLR) of cloud security and machine learning approaches and techniques in this work. After 63 pertinent papers were examined, the SLR's findings were divided into three primary study areas: I. The many forms of cloud security
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