Intrusion Detection Techniques Analysis in Cloud Computing

The rapid growth and widespread usage of cloud computing have brought security concerns to the forefront. To tackle these concerns, extensive research and development efforts have been dedicated to intrusion detection techniques. This paper provides an investigation and analysis of the current state of intrusion detection techniques in cloud computing. It encompasses the classification of existing techniques and an examination of the security requirements specific to cloud computing. We systematically summarize the novel approaches to intrusion detection techniques in cloud computing and explore how artificial intelligence techniques can enhance intrusion detection. In terms of evaluating these techniques, we conduct a comparative analysis of the merits and limitations of available datasets. Lastly, we elucidate the challenges inherent to intrusion detection in the cloud and outline future research directions.