Communication Security Warning for Digital Devices in the Context of Massive Data
In order to ensure the normal operation of digital devices,this paper studies the communication security warning of digital devices under the background of massive data,aiming at the problems of low warning efficiency and poor warning effect.Traditional methods,such as support vector machine,do not estimate communication fault signals,resulting in low accuracy of communication security warning.Therefore,a communication security warning method for digital devices based on wavelet packet frequency hopping estimation is proposed.Build a collection model for communication danger signals of digital devices,decompose and filter communication fault signals,and perform modal decomposition on the filtered communication data.Finally,estimate the characteristics of the decomposed communication fault signals to complete communication safety warning for digital devices.According to the experimental comparison results,the application of the proposed method can improve the accuracy and sensitivity of communication security warning,ensuring the safe and stable operation of digital equipment.
万方数据
维普
