Abstract:
Disclosed herein are an artificial Intelligence (AI)-based cyber training method. The AI-based cyber training method may include generating a unit attack by training an attack agent based on environment and state information of a cyber range (CR) and a set of attack tools executable on a system, executing the unit attack in the CR, and then determining whether the unit attack has succeeded, and determining whether to perform an attack or a defense based on whether the unit attack has succeeded.
Abstract:
Exemplary embodiments of the present invention relates to a resource sharing for M2M service capabilities. A sharing local resource sharing method of M2M component according to an embodiment of the present invention comprises generating an replacement network service capability layer when a pre-determined component which is included in a device/gateway domain is not connected to a network domain or a pre-determined request is made; and performing communication with at least one of other components included in the device/gateway domain through the generated replacement NSCL. In exemplary embodiments of the present invention, M2M service capabilities may be replaced or changed according to system conditions.
Abstract:
There is provided a system for providing information. The system includes a data classifying device configured to receive original data and classify the original data as real time data or general data; a real time data analyzing device configured to receive the real time data from the data classifying device and generate condensed information including only a part that satisfies predefined conditions among attribute information of the real time data; and a distributed parallel processing device configured to receive the general data from the data classifying device, perform a predetermined distributed parallel computation process on the general data, and generate analysis information.