With the continuous progress of social science and technology, the development of the Internet of things is growing. With the development of Internet of things, security problems emerge in endlessly. During the period of COVID-19, the Internet of Things have been widely used to fight virus outbreak. However, the most serious security problem of the Internet of things is network intrusion. This paper proposes a balanced quadratic support vector machine information security analysis method for Internet of things. Compared with the traditional support vector machine Internet of things security analysis method, this method has a higher accuracy, and can shorten the detection time, with efficient and powerful characteristics. The method proposed in this paper has certain reference value to the Internet of things network intrusion problem. It provides better security for the Internet of things during the protection period of covid-19.

中文翻译：

---

基于平衡双SVM的物联网信息安全分析方法

随着社会科学技术的不断进步，物联网的发展也在增长。随着物联网的发展，安全问题层出不穷。在COVID-19期间，物联网已被广泛用于抵抗病毒爆发。但是，物联网最严重的安全问题是网络入侵。提出了一种平衡的二次支持向量机信息安全分析方法。与传统的支持向量机物联网安全分析方法相比，该方法具有较高的准确性，并且可以缩短检测时间，具有高效，强大的特点。本文提出的方法对物联网网络入侵问题具有一定的参考价值。