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Network flow anomaly detection method for networking communication of multimedia medical equipment

A technology of medical equipment and network traffic, applied in the field of network communication, can solve problems such as difficult to accurately detect abnormal business of communication network

Inactive Publication Date: 2020-03-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
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  • Claims
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Problems solved by technology

However, due to the hidden nature of abnormal network traffic, these methods are difficult to accurately detect abnormal traffic in the communication network, which requires the proposal of new technologies different from the previous ones.

Method used

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  • Network flow anomaly detection method for networking communication of multimedia medical equipment
  • Network flow anomaly detection method for networking communication of multimedia medical equipment
  • Network flow anomaly detection method for networking communication of multimedia medical equipment

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Experimental program
Comparison scheme
Effect test

Embodiment

[0145] Step 1: Initialize the threshold and give the network traffic signal;

[0146] Use the traffic data from the real backbone network-Internet2 network (http: / / www.internet2.edu / ) as the background traffic, as the network traffic signal of the experiment, and then inject three attacks into the background traffic to detect and analyze the detection performance of WESAD. Simultaneously initialize two thresholds α and threshold β;

[0147] Step 2: Carry out wavelet packet transformation according to given formula, obtain new sequence;

[0148] Through wavelet packet decomposition, the coefficient of the network traffic signal x(t) in the subspace is obtained as which is

[0149]

[0150] Therefore, in the subspace and There is the following equation:

[0151]

[0152] Equations (1)-(4) represent the wavelet packet transform of network traffic x(t), where and Indicates the wavelet packet coefficients. Bring in the relevant data, and get the corresponding wav...

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Abstract

The invention discloses a network flow anomaly detection method for networking communication of multimedia medical equipment, and belongs to the technical field of network communication. According tothe improved empirical mode decomposition method, the limitation of a single spline function is overcome by utilizing multiple spline functions. And an optimal intrinsic mode function component is obtained according to the empirical mode decomposition process. The method provided by the invention solves the problem that the average value of envelopes actually separated from actual signal components is not zero. First, wavelet packet transform is used to preprocess network traffic. Network traffic is decomposed into a plurality of narrowband signals that exhibit more detailed network traffic characteristics. Secondly, the narrowband signals are divided into intrinsic mode functions of different scales, time and time-frequency domains by utilizing an empirical mode decomposition method. According to the method, the spectral kurtosis values of the intrinsic mode functions under the different scales are calculated so as to remove error components of empirical mode decomposition.

Description

technical field [0001] The invention belongs to the technical field of network communication, and in particular relates to a network traffic anomaly detection method for network communication of multimedia medical equipment. Background technique [0002] With the development of wireless communication and wearable technology, multimedia communication networks connecting various multimedia medical devices are currently being used for clinical and medical problems, such as smart hospitals, smart clinics, home smart rehabilitation, etc. The wide application of multimedia medical equipment has generated huge network traffic. Unusual or malfunctioning multimedia medical devices can generate abnormal network traffic and affect the diagnosis of medical problems. How to find abnormal network traffic is very important for the normal application of multimedia medical equipment. Abnormal network traffic describes abnormal actions and behaviors existing in large-scale multimedia commun...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L12/24H04L29/08
CPCH04L41/142H04L63/1408H04L63/1425H04L67/12
Inventor 蒋定德刘恒齐盛王雨晴
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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