A Situational Awareness Model for Edge Computing Devices

Edge computing is now widely applied in industrial IoT to enable fast response and resolution of services for end-user applications in the interconnected world of things. However, edge computing devices are highly vulnerable to attacks due to their proximity to ends with large amounts of private user information and rich digital assets. The purpose of this paper is to propose a situational awareness approach for edge computing devices to protect the security of edge devices. An example is implemented, and the results show that the situational awareness model can accurately detect the attacks encountered by edge devices.