Knowledge Graph Embeddings for Cloud Based Anomaly Detection

Because managing cloud computing infrastructures can be challenging due to the heterogeneity and dynamic nature of the resources involved as well as the highly distributed nature of the applications using them for computation, cloud providers are very concerned about maintaining the reliability of their services. [1][2][8]. Finding anomaly detection methods is essential for identifying strange service activity. This study focuses on identifying anomalies by describing computer resources, their connections, and the applications that utilize them using knowledge graphs. An anomaly detection system that can automatically identify abnormalities is proposed by this study. [8]. Key Words: Knowledge Graph, Anomaly Detection, Cloud Computing, Isolation Forest Algorithm, Machine Learning, Resource Management, Cloud Security.