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A device and method for identifying abnormal behavior based on electromagnetic leakage signal

A technology that leaks signals and behaviors, applied in the field of deep learning and image recognition, can solve the problems of electromagnetic information leakage and no application, and achieve the effect of solving the needs of a large number of samples and improving intelligence and accuracy.

Active Publication Date: 2022-04-01
CHINA ELECTRONICS TECH CYBER SECURITY CO LTD
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Problems solved by technology

Deep learning image recognition technology has been widely used in vehicle and traffic sign recognition, human static behavior classification and recognition, plant species and color recognition, face recognition, and medical cancer recognition. and no corresponding application

Method used

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  • A device and method for identifying abnormal behavior based on electromagnetic leakage signal
  • A device and method for identifying abnormal behavior based on electromagnetic leakage signal
  • A device and method for identifying abnormal behavior based on electromagnetic leakage signal

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Embodiment Construction

[0022] An abnormal behavior identification device based on electromagnetic leakage signals, such as figure 1 As shown, the following modules are included:

[0023] 1 signal acquisition module

[0024] The signal acquisition module collects and receives the leakage signal around the target device or line through the coupling probe or antenna, generates an electromagnetic leakage signal picture including time, signal strength, signal frequency and other information, and supports frequency domain-maximum value hold diagram, time-frequency- Waterfall diagram, time domain-intensity diagram and other types, and based on one or more image types, establish a sample library with / without leakage signal, a sample library with / without abnormal signal and a sample library of key behavior leakage signal.

[0025] 2 intelligent classification identification module

[0026] The intelligent classification and identification module mainly includes the intelligent identification and classifica...

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Abstract

The invention discloses an abnormal behavior identification device and method based on electromagnetic leakage signals. The identification device includes a sequentially connected signal acquisition module, an intelligent classification identification module, and a discrimination result presentation module, wherein: the signal acquisition module is used to acquire electromagnetic background signal, electromagnetic leakage signal, normal signal, abnormal signal, key behavior leakage signal and generate an electromagnetic leakage signal image and send it to the intelligent classification identification module; Signals and key behavior leakage signals are intelligently identified, and the identification results are sent to the discrimination result presentation module for presentation. The invention effectively realizes monitoring and alarming of illegal access equipment and equipment abnormal behavior; and can update and expand the existing feature sample library in time, and solves the need for a large number of samples for repeated learning and deep network training.

Description

technical field [0001] The invention belongs to the technical field of deep learning and image recognition, and in particular relates to an abnormal behavior recognition device and method based on electromagnetic leakage signals. Background technique [0002] Artificial intelligence is the frontier direction of the development of the computer field in recent years. Deep learning technology is one of the important means to realize artificial intelligence, and it is also a hot spot in the field of machine learning. It uses deep neural networks to achieve major breakthroughs in image recognition, speech recognition and other fields. [0003] In the field of image recognition, deep learning technology is currently the most effective means. Deep learning image recognition technology has been widely used in vehicle and traffic sign recognition, human static behavior classification and recognition, plant species and color recognition, face recognition, and medical cancer recogniti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G01R29/08
CPCG01R29/08G06F2218/12
Inventor 寇云峰刘文斌丁建锋宋滔齐国雷王梦寒程磊兰宇李雨锴
Owner CHINA ELECTRONICS TECH CYBER SECURITY CO LTD
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