Internet of Things intrusion detection method based on machine learning

Abstract

The invention discloses an Internet of Things intrusion detection method based on machine learning, and belongs to the field of Internet of Things safety. The method comprises the following steps of preprocessing data, dividing a data set and carrying out data dimension reduction, constructing a least squares support vector machine, carrying out sparse processing on the least squares support vector machine, forming a base classifier, constructing a base classifier based on a neural network, carrying out intrusion behavior detection and carrying out prediction experiments. According to the method, the computational complexity is reduced by adopting a least squares support vector machine algorithm, a pruning technology and the like; an improved evolutionary strategy optimization model is adopted to get rid of extreme points, the optimal effect of the model is achieved, and the judgment accuracy can be improved. The method has the characteristics of small computational amount, low false alarm rate and high detection accuracy, and is suitable for intrusion detection in the Internet of Things.

Description

Technical field [0001] The invention belongs to the security field of the Internet of Things, and relates to a method for detecting intrusion of the Internet of Things based on machine learning. Background technique [0002] With the rapid development of Internet of Things technology, Internet of Things products have gradually become popular. However, the current security protection capabilities of smart devices are generally weak. Problems such as incomplete upgrade and maintenance mechanisms and unreasonable smart device security configurations have led to more security in smart devices. Hidden dangers. With the development of the times, a large number of smart devices continue to emerge, but the corresponding security measures are not sound enough. For example, traditional security methods, such as authentication technology to determine its own security, key establishment and distribution mechanisms to ensure secure transmission, and data encryption technology to ensure data ...

AI Technical Summary

Problems solved by technology

In addition, the sensor network of the Internet of Things is composed of a large number of unattended sensor nodes. The traditional intrusion detection system is difficult to meet the demand due to the limited power supply energy of the sensor nodes of the Internet of Things, insufficient computing power, and limited storage space.

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