Multi-strategy Internet of Things safety protection method

Abstract

The invention provides a multi-strategy Internet of Things safety protection method, which comprises the following steps: dividing a no-fly zone into a transition zone, a warning zone and a sensitive zone, setting communication nodes in the transition zone, the warning zone and the sensitive zone respectively, and setting an attack device in the sensitive zone; communication nodes of a transition region, a warning region and a sensitive region are controlled to detect unmanned aerial vehicles in the transition region, the warning region and the sensitive region, and corresponding no-fly region recognition information is sent to the unmanned aerial vehicles; and when the unmanned aerial vehicle does not comply with the recognition information of the no-fly zone and enters the sensitive zone for 10 meters or more, starting the attack device to attack the unmanned aerial vehicle. According to the invention, level-to-level management is carried out on the no-fly zone, the protection level can be improved level by level, when the unmanned aerial vehicle does not comply with the no-fly zone identifier, an attack can be initiated in time, and the protection of the no-fly zone can be ensured.

Description

technical field [0001] The invention relates to the technical field of Internet of Things protection, in particular to a multi-strategy Internet of Things security protection method. Background technique [0002] The intelligence of UAVs has made the UAV market popularized and promoted the prosperity of the entire UAV industry. However, with the increase of users, there have been frequent occurrences of drone flight safety incidents such as crashes and black flying. Since UAVs cannot transmit real-time flight data to regulatory authorities, civil aviation authorities cannot monitor their flight conditions, and thus have no way of knowing the safe flight status of UAVs. [0003] How to ensure the safe and standardized use of drones has become the focus of civil aviation technology development. In the management of drone flight areas, preventing drones from being manipulated by criminals and entering sensitive areas such as military and politics is the current key research d...

AI Technical Summary

Problems solved by technology

In the management of drone flight areas, preventing drones from being manipulated by criminals into sensitive areas such as military and politics is the current key research direction. At present, there are three main technologies for drone supervision: drone electronic fence, drone Cloud, detection and strike, but only use the simple map matching method based on the UAV itself to control the UAV to avoid entering the above-mentioned areas. Criminals can easily enter sensitive areas by evading existing prevention methods through illegal means

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