As organizations transition their ICT infrastructure to the cloud, this provides a new way of accessing data on ICT platforms from anywhere and at any time. The cloud offers users infrastructure, applications, and storage services that require protection through policies or procedures. Cloud security is important in securing user data and infrastructure from malicious users by ensuring confidentiality, integrity, and availability. An intrusion detection system's (IDS) primary goal is to detect fraudulent activities to secure user data and cloud services. This study conducted a systematic literature review based on peer-reviewed empirical studies to identify and evaluate technology solutions for addressing cloud computing cyberattacks. This study provides an in-depth understanding of cloud computing and intrusion detection methods, defining precise classification and standards for algorithm construction in this dynamic research field. This study examines the limitations of current intrusion detection techniques in cloud computing, categorizing them into distinct groups through a literature review. The study highlights the benefits of feature selection-based intrusion detection in cloud computing, highlighting vulnerabilities and providing insights for stakeholders, offering valuable resources for further exploration. Finally, the paper concludes with a summary and outlines potential avenues for future research.