An Analysis of Emerging Cybersecurity Threats in Cloud Computing

Abstract

As cloud computing becomes increasingly integral to modern infrastructures, the need for robust cybersecurity measures has grown significantly. This paper examines emerging cybersecurity threats in cloud computing, focusing on advanced attacks like data breaches, virtualization vulnerabilities, insider threats, Distributed Denial of Service (DDoS) attacks, and Advanced Persistent Threats (APTs). It explores mathematical models for assessing threat probabilities, evaluating encryption efficiency, and quantifying risk. The study also investigates key security strategies, such as encryption, identity management, and incident response, to mitigate these risks. Additionally, compliance with global standards such as ISO 27001, NIST, and GDPR is analyzed to understand the challenges of maintaining secure multi-cloud environments. Through case studies of recent cloud security incidents, this research highlights critical lessons and provides actionable insights for strengthening cloud security frameworks. The paper concludes by discussing future trends, including artificial intelligence, machine learning, and quantum computing, and their potential impacts on cloud cybersecurity. By addressing these emerging threats and trends, the study aims to provide comprehensive guidance for enhancing cloud security.