Internet of Things equipment risk prediction analysis method based on network situation awareness

Abstract

The invention discloses an Internet of Things equipment risk prediction analysis method based on network situation awareness, and relates to the technical field of Internet of Things equipment risk prediction. The invention discloses an Internet of Things equipment risk prediction analysis method based on network situation awareness. The method comprises the following steps: abstracting an actual network architecture into a knowledge graph; performing prediction monitoring based on historical data of dynamic evolution of the knowledge graph; collecting, analyzing and predicting paths which can be generated by each node in the uppermost knowledge graph and all nodes in the lowermost layer; after an early warning signal is generated, analyzing influence factors of danger of the path, and replacing equipment on the path to reduce the risk of the path; according to the method, through a top-down sensing range focusing method, a suspicious range is positioned downwards according to upper-layer problem nodes, and detailed analysis and judgment are performed in the suspicious range of a lower-layer knowledge graph, so that more accurate prediction management is achieved.

Description

technical field [0001] The invention relates to the technical field of Internet of Things equipment risk prediction, in particular to a risk prediction and analysis method for Internet of Things equipment based on network situational awareness. Background technique [0002] As an important branch of artificial intelligence, knowledge graph has its unique advantages in big data analysis and decision-making. It can represent data as a networked knowledge structure based on "entity-relationship-entity", and help understanding through semantic links Big data, gain holistic insights into big data and provide decision support. [0003] Aiming at the characteristics of massive and heterogeneous IoT devices, the high dynamics of IoT network status, and the severe situation of frequent platform failures and various attacks, the present invention studies a situational awareness method for dynamic networks of massive heterogeneous devices; Joining, exiting, aging, and damage will lead...

AI Technical Summary

Problems solved by technology

[0004]The purpose of this invention is to propose a risk prediction and analysis method for IoT devices based on network situational awareness, and accurately predict the operating status of platform devices through multi-layer coupling knowledge graph research , provide early warning of potential security threats, and solve the problem that the operation status of the network platform is highly dynamic and cannot be effectively managed due to the addition, withdrawal, aging, and damage of sensing devices

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