Information system testing method based on Internet of Things

A test method and information system technology, which is applied in the field of information system test based on the Internet of Things, can solve the problems of reducing the detection accuracy and difficult to distinguish data abnormalities, etc., and achieve the effect of high detection accuracy

Inactive Publication Date: 2019-07-26
佛山市湘訾科技服务有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there will be big problems when these methods are applied to the communication data of the Internet of Things, mainly because the underlying communication devices of the Internet of Things are ...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Information system testing method based on Internet of Things

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The information system testing method based on the Internet of Things of the present embodiment comprises the following steps: comprising the following steps:

[0026] S1. Through the multi-label dimensionality reduction of the abnormal data of the underlying communication of the Internet of Things;

[0027] S2. Combining the particle swarm optimization algorithm to carry out constraint analysis on the relevant data, on this basis, using the support vector machine method to complete the identification of the abnormal data of the underlying Internet of Things through the iterative classification constraint technology;

[0028] S3. Use the support vector machine method to distinguish the abnormal data, so as to detect the characteristics of the abnormal data of the Internet of Things network.

[0029] In this embodiment, in step s1, a multi-label method is used to constrain the underlying IoT-related devices; the data of the related devices will develop from an unlimited ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an information system testing method based on the Internet of Things. The method comprises the following steps: firstly, carrying out multi-label dimension reduction on underlying communication abnormal data of the Internet of Things, carrying out constraint analysis on related data in combination with a particle swarm algorithm, and on the basis, completing recognition onthe underlying Internet of Things abnormal data by applying a support vector machine method through an iterative classification constraint technology; and finally, carrying out related distinguishingon the abnormal data by utilizing a support vector machine method so as to detect the characteristics of the abnormal data of the Internet of Things. Experimental data results show that the method isadopted to detect abnormal data characteristics, and the detection accuracy is high.

Description

technical field [0001] The invention belongs to the field of Internet of Things testing, and in particular relates to an information system testing method based on the Internet of Things. Background technique [0002] With the continuous expansion of the application area of ​​the Internet of Things technology, the requirements for the communication security of the Internet of Things are increasing. The Internet of Things is composed of different devices, so once dangerous data exists, it will bring greater security risks to related devices. Therefore, it is necessary to research a method with a high degree of automation to retrieve specific abnormal data in the Internet of Things, and quickly identify some abnormal dangerous data to ensure the safety of related equipment. Various intelligent algorithms for detecting communication data of the Internet of Things have attracted the attention of relevant scholars, and have become a hot spot in the field of intelligent control o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04L29/06H04L29/08
CPCH04L63/1425H04L67/12
Inventor 邱丁宝邱文君吴小梅
Owner 佛山市湘訾科技服务有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap