Information system testing method based on Internet of Things

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...

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 composed of different hardware devices.

This makes it difficult to use a unified standard to distinguish the abnormality of the data during the classification process, thereby reducing the accuracy of detection

Images