Abstract:
Cloud computing has become increasingly popular, drawing investments from
organizations for internal use or as service providers. However, this growth has brought
about various security challenges that impact industries and consumers. To address these
issues, machine learning is being employed to enhance cloud security by identifying and
mitigating attacks, as well as addressing vulnerabilities within cloud environments. Cloud
computing, as a well-established and flexible platform, allows businesses and consumers
to access IT services over the internet. It offers cost-effective solutions and remote service
access, making it a preferred choice. However, with the expanding reliance on cloud
computing, ensuring data security becomes a crucial responsibility for service providers.
The involvement of third-party vendors introduces an additional layer of risk, posing
challenges in maintaining data security due to factors like weak access controls, inadequate
encryption measures, or vulnerabilities within the cloud infrastructure itself.
