Intelligent analysis of electromagnetic information leakage from computer cable

Electromagnetic(EM) conduction emission through linked cables in computer system can cause internal information leakage, which leads to information security problems. In order to analyze electromagnetic information leakage from computer cables, an intelligent analysis method based on deep learning is proposed. A one-dimensional convolutional neural network algorithm is designed to extract and learn the features of electromagnetic leakage signals, intelligently identify the type of cables that are considered as leakage sources, and then analyze the leaked video information from the leaked electromagnetic signals. The experiment results show that the method presented in this paper effectively detects the source and information of electromagnetic leakage in the case of unknown target signal features. The method provides a way to analyze the electromagnetic information leakage of computer cables intelligently.