Electromagnetic red information detection method based on cepstrum and convolutional neural network

Abstract

The invention provides an electromagnetic red information detection method based on cepstrum and a convolutional neural network. Firstly, samples of a plurality of electromagnetic leakage signals arecollected and downsampled; information leakage characteristics in the electromagnetic leakage signals are extracted through cepstrum analysis; electromagnetic red information feature representation based on cepstrum is formed; a large number of classification training are carried out on the extracted red information features through the convolutional neural network; a detection model about the electromagnetic red information is obtained; a to-be-detected electromagnetic leakage signal sample is input; downsampling and cepstrum electromagnetic red information feature extraction are also carriedout, finally, the trained electromagnetic red information detection model is used for carrying out identification judgment on the red information features, and the detection accuracy of the electromagnetic red information is evaluated by comparing a detection result with a priori label of the to-be-detected electromagnetic leakage signal sample. According to the electromagnetic red information detection method provided by the invention, the electromagnetic leakage signal can be detected in an environment with a low signal-to-noise ratio, the sensitivity is high, and the detection accuracy ishigher than that of a traditional method.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to a method for detecting electromagnetic leakage red information by using cepstrum and convolutional neural network. Background technique [0002] With the in-depth development and wide application of information technology and computer technology, the role of computers in military, government affairs, and commercial fields is becoming more and more important. As a data information processing device, a computer will inevitably emit electromagnetic energy to the external environment when processing information. The electromagnetic energy leakage of equipment includes two ways: radiation and conduction: radiation leakage is to radiate stray electromagnetic energy in the form of electromagnetic waves through the equipment casing and various pores on the casing, connecting cables, etc., while conduction leakage is to radiate Stray electromagnetic energy is conducted throu...

AI Technical Summary

Problems solved by technology

[0005] Because the electromagnetic red information has the characteristics of low signal-to-noise ratio and weak characteristic signal strength, in the complex electromagnetic environment, the traditional electromagnetic red information feature extraction method needs to define the red information features in advance, and these red information features are easily overwhelmed. In a complex electromagnetic environment, it is difficult to separate and extract, so traditional methods cannot extract and express the characteristics of electromagnetic red information well, which affects the subsequent detection and recognition rate

Images