Exploring the Application of Artificial Neural Networks in Enhancing Security Measures For Cloud Computing: A Survey

Abstract

Maurice Omuya Odida

Cloud computing has become integral to modern business operations, offering scalability, flexibility, and cost-effectiveness. However, the increasing adoption of cloud services also brings forth significant security challenges. In response, researchers and practitioners have explored various approaches to enhance security measures in cloud computing environments. Among these approaches, Artificial Neural Networks (ANNs) have emerged as promising tools for bolstering cloud security. This survey aims to explore the application of Artificial Neural Networks in enhancing security measures for cloud computing. Through an extensive review of existing literature, this survey provides insights into the role of ANNs in addressing key security challenges faced by cloud service providers and users. The survey methodology involves the selection of relevant studies, data collection, and analysis to identify trends, challenges, and opportunities in the application of ANNs for cloud security. The findings of this survey offer valuable insights into the current state of research in this field, highlighting emerging trends, potential areas for further exploration, and practical implications for industry stakeholders. Ultimately, this survey contributes to the understanding of how Artificial Neural Networks can be leveraged to enhance security measures and mitigate risks in cloud computing environments, paving the way for more robust and resilient cloud security solutions.

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