Abstract: A system, method, and computer-readable medium for managing content delivery networks are provided. A content delivery network can train a set of machine learned algorithms corresponding to anomaly detection in the hosting of content. The content delivery network can obtain log information from a plurality of POPs and additional information for use as inputs to selected machine learned algorithms. The content delivery network can the generate a set of recommendations as either CDN performance recommendations or CDN analysis recommendations for customers.

Abstract: Techniques for detection of the fraudulent use of content delivery network (CDN) served byte streams are described. A fraud detection service obtains CDN log data, distribution data, and account data and uses elements therefrom to perform a distribution-centric fraud analysis using machine learning techniques. Based on the likelihood of fraud determined by the analysis, the fraud detection service can rapidly perform actions to address the fraud, such as the termination of service for the distribution, throttling of resources provided for the distribution, or further investigation techniques.