Network trust state acquisition method based on active message detection

Abstract

The invention discloses a network trust state acquisition method based on active message detection. According to the method disclosed by the invention, when the equipment generates data, a data trust detection identification message consisting of a data number, data generation time, a data deadline, a data position and an identifier bit is routed to a network boundary in four directions through adjacent equipment. Therefore, when the unmanned aerial vehicle receives the data trust detection and identification message, the unmanned aerial vehicle not only can complete data collection at a specified position, but also can obtain a trusted route and evaluate and update the equipment trust degree of the route, and in addition, the unmanned aerial vehicle can also deduce a transmission area of the data trust detection and identification message to other directions. And when the unmanned aerial vehicle does not receive the message after passing through the data trust detection to identify the transmission area of the message, the malicious equipment exists in the area. According to the method, the area where the malicious equipment is located is identified by adopting a near-hop method, and the equipment trust degree in the area is re-evaluated so as to reduce the trust value of the equipment. Therefore, the unmanned aerial vehicle continuously adjusts the track according to the trust updating result, so that an untrusted area is avoided, more data trust detection and identification messages are received, and collection of more data is completed.

Description

technical field [0001] The invention belongs to the field of trusted network construction of the Internet of Things, and particularly relates to a network trust state acquisition method based on active message detection in an open network. Background technique [0002] With the rapid development of electronic information technology, the Internet of Things has become one of the hottest topics in academia and industry. More and more sensor devices with rich sensing devices are flexibly deployed in the areas that need to be monitored to sense and collect data, so as to control and process the monitored objects. And, with the development of 6G technology, more and more sensor devices are distributed over a wide area in order to remotely monitor specific processes in the work area. However, in view of the openness of the IoT network, some devices are easily attacked and become malicious devices, such as black hole attacks, gray hole attacks, DoS attacks, node replication, Sybil ...

AI Technical Summary

Problems solved by technology

Its purpose is to overcome the factors of poor network performance such as low data collection rate, high data processing delay, and high cost of drone flight caused by traditional solutions that do not consider trust factors.

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