An abnormal data detection method based on k-mediod in the Internet of Things environment

Abstract

The present invention provides a kind of abnormal data detection method under the Internet of Things environment based on K-mediod, relates to the field of information security technology, including the collection of Internet of Things equipment data, the construction of information matrix and similarity matrix, K-mediod clustering and results Evaluation, constructing an information matrix from the collected IoT device information, calculating and constructing a similarity matrix based on the information matrix, clustering the information according to the similarity values ​​in the similarity matrix to obtain the clustering results, and finally evaluating the clustering through the evaluation function As a result, abnormal data detection results are obtained. The method of the present invention improves the ability to identify abnormalities in the environment of the Internet of Things, and solves the impact of the diversity and unpredictability of user behavior patterns on the detection of abnormal data.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to an abnormal data detection method based on a K-mediod Internet of Things environment. Background technique [0002] As 5G technology slowly enters our lives, IoT technology, as a new generation of information technology, has gradually become a part of ordinary people's life, and has an increasingly significant impact on people's lives. The Internet of Things refers to the connection of any item (such as sensors, actuators, embedded devices, etc.) with the Internet through information sensing nodes, and information exchange and communication to achieve intelligent identification, positioning, tracking, monitoring, and management. 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 hierarchical structure of IoT consists of perception layer,...

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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