Provided is a method of predicting an intrusion to occur in a network of a vehicle based on information on the vehicle and an electronic apparatus therefor. In the present disclosure, at least one of an electronic apparatus, a vehicle, a vehicle terminal, and an autonomous vehicle may be connected with an artificial intelligence (AI) module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service, for example.