Patent attributes
A computer implemented method to detect anomalous behavior of a software container having a software application executing therein, the method including receiving a sparse data representation of each of a: first set of container network traffic records; a first set of application traffic records; and a first set of container resource records, and training an hierarchical temporal memory (HTM) for each first set, wherein the container network traffic records correspond to network traffic communicated with the container, the application traffic records correspond to network traffic communicated with the software application, and the container resource records correspond to the use of computer resources by the container; receiving a sparse data representation of each of a: second set of container network traffic records; a second set of application traffic records; and a second set of container resource records; executing the trained HTMs based on each respective second set to determine a degree of recognition of each of the second sets; responsive to an identification of a coincidence of a degree of recognition of each of the second sets being below a threshold degree in each of the HTMs, identifying anomalous behavior of the software container.
