Abnormal data detection method in Internet of Things environment based on K-media

Abstract

The invention provides an abnormal data detection method in an Internet of Things environment based on K-media, and relates to the technical field of information security. The method comprises the steps: collecting Internet of Things equipment data, constructing an information matrix and a similar matrix, and carrying out K-media clustering and result evaluation. Specifically, the method comprisesthe steps: constructing an information matrix according to the collected Internet of Things equipment information, calculating and constructing a similar matrix according to the information matrix, carrying out the clustering on the information according to similarity values in the similar matrix to obtain a clustering result, and finally evaluating the clustering result through an evaluation function to obtain an abnormal data detection result. According to the method provided by the invention, the abnormal identification capability in the Internet of Things environment is improved, and theinfluence of diversity and unpredictability of user behavior modes on detection of abnormal data is solved.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to a method for detecting abnormal data in a K-mediod-based Internet of Things environment. Background technique [0002] As 5G technology slowly enters our lives, the Internet of Things technology, as a new generation of information technology, has gradually become a part of the lives of ordinary people, and its impact on people's lives has become increasingly significant. The Internet of Things refers to the connection of any items (such as sensors, actuators, embedded devices, etc.) of a network. The Internet of Things is the extension and expansion of the Internet, which realizes the opening of various objects to the Internet in a certain way. The traditional layered structure of IoT consists of perception layer, network layer and application layer. [0003] Although the Internet of Things has great significance and good development prospects, there are still man...

AI Technical Summary

Problems solved by technology

In the Internet of Things, due to factors such as unstable sensor performance, data transmission network failure, interference and destruction caused by man-made or natural environments, abnormal data may be generated.

This leads to a drastic drop in data quality in IoT

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