Computer cable electromagnetic leakage characteristic analysis method

A feature analysis and computer technology, applied in the field of electromagnetic leakage analysis, can solve problems such as difficulty in identifying information hidden in leakage signals, analysis of cable electromagnetic leakage characteristics, and difficulty in distinguishing leakage signal characteristics, etc., to increase generalization ability, high accuracy rate, model efficiency and stability

Pending Publication Date: 2022-04-19
JIMEI UNIV
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Problems solved by technology

[0003] At present, due to the different encoding methods used by various types of cables when transmitting information, theoretically the electromagnetic signals leaked by each should have different characteristics. However, there is noise interference in the actual electromagnetic environment, and computer cables are used as leakage sources. Signal features are often difficult to distinguish, which makes it more difficult to identify hidden information in leaked signals, and also brings inconvenience to the analysis of cable electromagnetic leakage characteristics. Therefore, the present invention proposes a computer cable electromagnetic leakage characteristic analysis method to solve Problems in prior art

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  • Computer cable electromagnetic leakage characteristic analysis method
  • Computer cable electromagnetic leakage characteristic analysis method
  • Computer cable electromagnetic leakage characteristic analysis method

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Embodiment 1

[0053] see figure 1 , figure 2 , the present embodiment provides a computer cable electromagnetic leakage characteristic analysis method, comprising the following steps:

[0054] Step 1: Identify the source of the leak

[0055] First collect the leaked electromagnetic signal through the signal acquisition device, and then use the fast Fourier transform to preprocess the time domain signal samples, and then design a network consisting of two one-dimensional convolutional layers, two pooling layers and a fully connected Layered convolutional neural network structure, model training is performed on the signal data in the time domain and frequency domain respectively, and then the electromagnetic signal to be measured is input into the trained convolutional neural network structure model, and passed through the neural network Layer-by-layer feature extraction, and then output the prediction scores of each category in the fully connected layer, and finally identify the source of...

Embodiment 2

[0087] VGA cables, computer power cables, HDMI cables, and unshielded twisted-pair cables are used as the leakage sources to be detected. Data collection and testing are carried out under normal indoor working conditions without shielding electromagnetic waves from other electronic devices. The interference and signal acquisition device consists of A.H.Systems BCP-620 calipers and NI PXIe-5162 signal processing equipment. The calipers are used to collect electromagnetic leakage information. The acquisition accuracy of the signal processing equipment is 10bit, mainly used for signal processing and Storage, the devices to be collected include LCD monitors of the model DELL OptiPLex3240, AOCI2490PXC monitors with HDMI interfaces, computer hosts and HP laptops. The electromagnetic leakage information collection methods are as follows: figure 2 shown;

[0088] The electromagnetic leakage samples of four different cables are collected. Without considering the restoration of leakage...

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Abstract

The invention discloses a computer cable electromagnetic leakage characteristic analysis method. The method comprises the following steps of identifying a leakage source, judging whether information leakage exists or not and analyzing leakage information content; under the condition that the electromagnetic signal characteristics are unknown, the electromagnetic signal can be analyzed, the leakage source of the electromagnetic signal and the leakage information hidden in the leakage source are gradually identified, the layered detection strategy of the electromagnetic information leakage is realized under the unified algorithm and technical framework, and the detection accuracy is improved. Compared with a traditional method for analyzing electromagnetic leakage information through operation experience and priori knowledge, the electromagnetic leakage information analysis efficiency is improved, under the condition that the signal-to-noise ratio is low, features in signals can be accurately extracted to judge a leakage source, the speed of solving the optimal value through gradient descent in the model is higher by adding a batch standardization layer, and the method has the advantages of being high in accuracy and high in reliability. And meanwhile, the overfitting problem is more effectively avoided, and the integrated learning method is adopted, so that the electromagnetic leakage information detection efficiency and accuracy can be relatively high under the condition of small samples.

Description

technical field [0001] The invention relates to the technical field of electromagnetic leakage analysis, in particular to a method for analyzing characteristics of computer cable electromagnetic leakage. Background technique [0002] With the rapid development and wide application of electronic equipment, the information security of the equipment itself has become increasingly prominent. Research has found that when electronic equipment such as computers and numerical control systems process information, the internal current changes will generate electromagnetic radiation and emit electromagnetic signals to the outside world. These unintentionally emitted non-communication electromagnetic signals, carrying useful information in the device, may be detected and reproduced through restoration technology, resulting in the leakage of sensitive information and endangering information security. Various types of cables connected to computers are generating electromagnetic waves. The...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F2218/02G06F2218/12
Inventor 茅剑唐妮刘晋明张杰敏关天敏黄斌
Owner JIMEI UNIV
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