<![CDATA[The accessibility, flexibility, and scalability offered by cloud computing have driven the increasing adoption of cloud technology across various sectors, including business, healthcare, education, and industry. However, despite these advantages, cloud environments remain vulnerable to security threats such as data breaches, cyberattacks, unauthorized access, and service disruptions. These challenges have contributed to the rapid growth of research related to cloud security in recent years. This study aims to analyze research trends, themes, and research gaps in the field of cloud security using a Systematic Literature Review (SLR) and bibliometric analysis approach. A total of 76 open-access articles indexed in Scopus from the 2022–2025 period were analyzed using the Biblioshiny tool. The results indicate that research themes are dominated by approaches related to intrusion detection, network security, and the application of machine learning and deep learning for security threat detection. In addition, cryptographic techniques remain an important approach for data protection in cloud environments. The thematic map analysis reveals that topics such as intrusion detection and network security belong to the motor themes category, while themes such as blockchain-based security and application-specific security are still relatively limited. This study also identifies that most existing research still focuses on isolated security approaches, highlighting the need for integrated security technologies and the development of more adaptive and proactive security systems as future research opportunities.]]>
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