Detecting threats in big data platforms based on call trace and memory access patterns

摘要

A runtime attack can be detected on a big data system while processes are executed on various nodes. A behavior profile can be maintained for tasks or processes running on different nodes. The existence of a call variance in one of the traces for one of the behavior profiles can be determined. A memory variance can also be detected in one of the behavior profiles. A runtime attack has occurred when both the memory variance and the call variance are determined to exist.