A method and system for extracting identification information of networked smart devices

Abstract

The present invention provides a method and system for extracting identification information of networked smart devices, which relate to the technical field of Internet of Things device security. The method includes filtering the application layer response data of the networked smart device from the application layer response data and extracting and identifying the characteristics of the networked smart device therefrom. The characteristic keyword sequence; then search the characteristic keyword sequence and crawl the first n webpages; filter the first text information from the webpage and extract the preliminary equipment from the first text information based on the hidden Markov model named entity recognition algorithm Describe the identification information; select the information with the highest frequency of occurrence in the same category of the preliminary device description identification information as the final device description identification information of this category; the extraction method can extract unseen device description identification information; and the final device description identification information The determination method can achieve the same accuracy rate as the existing association rule mining algorithm, and the algorithm is simple, and the computing resources are far smaller than other existing algorithms.

Description

technical field [0001] The invention relates to the technical field of Internet of Things device security, in particular to a method and system for extracting identification information of networked smart devices. Background technique [0002] A certain amount of research has been done in the field of networked smart device identification information extraction at home and abroad, and some feasible networked smart device identification information extraction methods have been proposed; current networked smart device identification information extraction methods can be divided into two categories: one is based on supervised Machine learning technology, the other is based on natural language processing and data mining. [0003] Networked smart device identification information extraction method based on supervised machine learning technology [0004] At present, most of the identification information extraction methods for networked smart devices use supervised learning in ma...

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Problems solved by technology

[0007] In view of this, the object of the present invention is to propose a method and system for extracting identification information of networked smart devices, so as to solve the problem that the existing rules in the identification information extraction method of the existing networked smart devices do not match the device type, manufacturer, and model. The problem of extracting device identification information, and the problem of extracting device identification information from search results based on association rule mining algorithms takes a long time and consumes high computing resources

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