Blockchain-Enabled Machine Learning Approach For Enhanced Security In Cloud Computing Environments
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Abstract
Cloud computing has revolutionized the way organizations manage and process data, offering unparalleled scalability and flexibility. However, the adoption of cloud services also brings forth numerous security challenges, ranging from data breaches to compliance issues. In this paper, we explore the integration of blockchain technology and machine learning as a novel approach to enhance security in cloud computing environments. We begin by providing an overview of the current cloud security landscape, highlighting its complexities and emerging threats. Subsequently, we delve into the fundamentals of blockchain technology and its potential applications in cloud security. We then discussed the role of machine learning techniques in fortifying cloud defenses against evolving cyber threats. By integrating blockchain and machine learning, we propose a comprehensive framework aimed at bolstering the security posture of cloud-based systems. Finally, we present experimental findings and analysis to validate the effectiveness of our proposed approach. Our research contributes to the advancement of security solutions in cloud computing, offering insights into the synergy between blockchain and machine learning for enhanced security measures.
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