An Internet of things vulnerability information management system based on data virtualization

Abstract

The invention provides an Internet of things vulnerability information management system based on data virtualization, proposes a reference framework for vulnerability information management, and designs a hierarchical network structure organization model of metadata based on Neo4j, which can effectively utilize the advantages of Neo4j in multi-relationship management, establish bi-directional index structure for metadata, reduce index space, and improve the query speed of metadata. The data virtualization method has high flexibility and applicability, but there is no universally recognized solution for the implementation of its system at present. The invention systematically utilizes the relationship between the source data itself, improves the retrieval efficiency of the metadata, and improves the performance of the whole system. This system can not only realize the effective management of vulnerability information in Internet of Things, but also solve the problems of low real-time data and data security in data management system. At the same time, it also provides a new solution for other heterogeneous data management.

Description

technical field [0001] The invention belongs to the technical field of multi-source heterogeneous data management, and in particular relates to a data virtualization-based vulnerability information management system of the Internet of Things. Background technique [0002] The expected growth of the global IoT market has brought about an increase in security risks. At present, most IoT control platforms and corresponding software applications have common vulnerabilities, and some IoT devices have weak encryption measures, and it is usually impossible to use strong passwords, making security issues a hindrance to the further development of IoT. Key factor. If the security cannot be fully guaranteed, it will seriously affect the security of personal privacy, commercial secrets and military secrets in the IoT system. When security personnel understand the security status of IoT devices, they need to conduct qualitative risk assessment work on IoT devices. However, due to the ...

AI Technical Summary

Problems solved by technology

Since the current data virtualization system mainly adopts the tree structure to organize and manage the metadata, and does not consider the relationship between data from different data sources, the query and retrieval rate of metadata is too slow. Therefore, it is necessary to study an efficient metadata organization. The method is a big issue related to the performance of the whole system

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